Publications

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Books

Papers

  1. Rob J Hyndman (2022) Forecasting, causality and feedback. International Journal of Forecasting, to appear. pdf
  2. Robert Moss, David J Price, Nick Golding, Peter Dawson, Jodie McVernon, Rob J Hyndman, Freya M Shearer, James M McCaw (2022) Forecasting COVID-19 activity in Australia to support pandemic response: May to October 2020. DOI
  3. Anastasios Panagiotelis, Puwasala Gamakumara, George Athanasopoulos and Rob J Hyndman (2022) Probabilistic forecast reconciliation: properties, evaluation and score optimisation. European J Operational Research, to appear. DOI pdf code
  4. Bahman Rostami-Tabar, Mohammad M Ali, Tao Hong, Rob J Hyndman, Michael D Porter, Aris Syntetos (2022) Forecasting for Social Good. International Journal of Forecasting, 38(3), 1245-1257. DOI pdf
  5. Dilini Rajapaksha, Christoph Bergmeir, Rob J Hyndman (2022) LoMEF: A Framework to Produce Local Explanations for Global Model Time Series Forecasts. International J Forecasting, to appear. DOI arXiv
  6. Xiaoqian Wang, Rob J Hyndman, Feng Li, Yanfei Kang (2022) Forecast combinations: an over 50-year review. arXiv code
  7. Kasun Bandara, Rob J Hyndman, Christoph Bergmeir (2022) MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns. International J Operational Research, to appear. DOI arXiv
  8. Xiaoqian Wang, Yanfei Kang, Rob J Hyndman, Feng Li (2022) Distributed ARIMA Models for Ultra-long Time Series. International J Forecasting, to appear. DOI arXiv code
  9. Sevvandi Kandanaarachchi, Rob J Hyndman (2022) Leave-one-out kernel density estimates for outlier detection. J Computational & Graphical Statistics, 31(2), 586-599. DOI pdf code
  10. Alex Dokumentov and Rob J Hyndman (2022) STR: Seasonal-Trend decomposition using Regression. INFORMS Journal on Data Science, 1(1), 50-62. DOI pdf code
  11. Sayani Gupta, Rob J Hyndman, Dianne Cook and Antony Unwin (2022) Visualizing probability distributions across bivariate cyclic temporal granularities. J Computational & Graphical Statistics, 31(1), 14-25. DOI pdf code
  12. Mahsa Ashouri, Rob J Hyndman, Galit Shmueli (2022) Fast forecast reconciliation using linear models. J Computational & Graphical Statistics, 31(1), 263-282. DOI pdf
  13. Atefeh Zamani, Hossein Haghbin, Maryam Hashemi, Rob J Hyndman (2022) Seasonal functional autoregressive models. J Time Series Analysis, 43(2), 197-218. DOI pdf
  14. George Athanasopoulos, Rob J Hyndman, Nikolaos Kourentzes, Mitchell O'Hara‑Wild (2022) Probabilistic forecasts using expert judgment: the road to recovery from COVID-19. Journal of Travel Research, to appear. DOI pdf
  15. Mahdi Abolghasemi, Rob J Hyndman, Evangelos Spiliotis, Christoph Bergmeir (2022) Model selection in reconciling hierarchical time series. Machine Learning, 111, 739–789. DOI arXiv
  16. Claire Kermorvant, Benoit Liquet, Guy Litt, Jeremy B Jones, Kerrie Mengersen, Erin E Peterson, Rob J Hyndman, Catherine Leigh (2021) Reconstructing missing and anomalous data collected from high-frequency in-situ sensors in fresh waters. International Journal of Environmental Research and Public Health, 18(23), 12803. DOI
  17. Sayani Gupta, Rob J Hyndman, Dianne Cook (2021) Detecting distributional differences between temporal granularities for exploratory time series analysis. pdf
  18. Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I Webb, Rob J Hyndman, Pablo Montero-Manso (2021) Monash Time Series Forecasting Archive. NeurIPS 2021 Datasets and Benchmarks. arXiv pdf Online code
  19. Hansika Hewamalage, Pablo Montero-Manso, Christoph Bergmeir, Rob J Hyndman (2021) A Look at the Evaluation Setup of the M5 Forecasting Competition. arXiv
  20. Evangelos Spiliotis, Mahdi Abolghasemi, Rob J Hyndman, Fotios Petropoulos, Vassilios Assimakopoulos (2021) Hierarchical forecast reconciliation with machine learning. Applied Soft Computing, 112, 107756. DOI arXiv
  21. Claire Kermorvant, Benoit Liquet, Guy Litt, Kerrie Mengersen, Erin E Peterson, Rob J Hyndman, Jeremy B Jones Jr, Catherine Leigh (2021) Understanding links between water-quality variables and nitrate concentration in freshwater streams using high-frequency sensor data. arXiv
  22. Nick Golding, Freya M Shearer, Robert Moss, Peter Dawson, Dennis Liu, Joshua V Ross, Rob J Hyndman, Pablo Montero-Manso, Gerry Ryan, Tobin South, Jodie McVernon, David J Price, and James M McCaw (2021) Situational assessment of COVID-19 in Australia. pdf
  23. Rob J Hyndman (2021) Quantile forecasting with ensembles and combinations. Chapter in Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning, eds. Gilliland, Tashman & Sglavo. pp.371-375, John Wiley & Sons. Amazon pdf code
  24. Pablo Montero-Manso, Rob J Hyndman (2021) Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality. International J Forecasting, 37(4), 1632-1653. DOI pdf code
  25. Sevvandi Kandanaarachchi, Rob J Hyndman (2021) Dimension reduction for outlier detection using DOBIN. J Computational & Graphical Statistics, 30(1), 204-219. DOI pdf code
  26. Rob J Hyndman, Yijun Zeng, Han Lin Shang (2021) Forecasting the old-age dependency ratio to determine a sustainable pension age. Australian & New Zealand Journal of Statistics, 63(2), 241-256. DOI pdf code
  27. Fan Cheng, Rob J Hyndman, Anastasios Panagiotelis (2021) Computationally Efficient Learning of Statistical Manifolds. pdf code
  28. Han Li, Rob J Hyndman (2021) Assessing mortality inequality in the US: What can be said about the future?. Insurance, Mathematics and Economics, 99, 152-162. DOI pdf
  29. Anastasios Panagiotelis, Puwasala Gamakumara, George Athanasopoulos, Rob J Hyndman (2021) Forecast reconciliation: A geometric view with new insights on bias correction. International J Forecasting, 37(1), 343-359. DOI pdf
  30. Souhaib Ben Taieb, James W Taylor, Rob J Hyndman (2021) Hierarchical Probabilistic Forecasting of Electricity Demand with Smart Meter Data. J American Statistical Association, 116(533), 27-43. DOI pdf code
  31. Cameron Roach, Rob J Hyndman, Souhaib Ben Taieb (2021) Nonlinear mixed effects models for time series forecasting of smart meter demand. Journal of Forecasting, 40(6), 1118-1130. DOI pdf code
  32. Priyanga Dilini Talagala, Rob J Hyndman, Kate Smith‑Miles, (2021) Anomaly detection in high-dimensional data. J Computational & Graphical Statistics, 30(2), 360-374. DOI arXiv
  33. Florian Eckert, Rob J Hyndman, Anastasios Panagiotelis (2021) Forecasting Swiss Exports using Bayesian Forecast Reconciliation. European Journal of Operational Research, 291(2), 693-710. DOI pdf code
  34. Stephanie Clark, Rob J Hyndman, Dan Pagendam, Louise M Ryan (2020) Modern strategies for time series regression. International Statistical Review, 88(S1), S179-S204. DOI arXiv
  35. Nick Golding, Freya M Shearer, Robert Moss, Peter Dawson, Dennis Liu, Joshua V Ross, Rob J Hyndman, Cameron Zachreson, Nic Geard, Jodie McVernon, David J Price, and James M McCaw (2020) Estimating temporal variation in transmission of SARS-CoV-2 and physical distancing behaviour in Australia. pdf
  36. Jeremy Forbes, Dianne Cook, Rob J Hyndman (2020) Spatial modelling of the two-party preferred vote in Australian federal elections: 2001-2016. Australian and New Zealand Journal of Statistics, 62(2), 168-185. DOI pdf code
  37. Sevvandi Kandanaarachchi, Rob J Hyndman and Kate Smith‑Miles (2020) Early classification of spatio-temporal events using partial information. PLoS ONE, 15(8): e0236331. DOI pdf code
  38. Yanfei Kang, Rob J Hyndman, Feng Li (2020) GRATIS: GeneRAting TIme Series with diverse and controllable characteristics. Statistical Analysis and Data Mining, 13(4), 354-376. DOI arXiv
  39. Priyanga Dilini Talagala, Rob J Hyndman, Kate Smith‑Miles, Sevvandi Kandanaarachchi and Mario A Muñoz (2020) Anomaly detection in streaming nonstationary temporal data. J Computational & Graphical Statistics, 20(1), 13-27. DOI pdf
  40. Shanika L Wickramasuriya, Berwin A Turlach, Rob J Hyndman (2020) Optimal non-negative forecast reconciliation. Statistics & Computing, 30(5), 1167-1182. DOI pdf code
  41. Sevvandi Kandanaarachchi, Mario A Muñoz, Rob J Hyndman and Kate Smith‑Miles (2020) On normalization and algorithm selection for unsupervised outlier detection. Data Mining and Knowledge Discovery, 34, 309-354. DOI pdf
  42. D Vicendese, L Te Marvelde, PD McNair, K Whitfield, DR English, S Ben Taieb, RJ Hyndman, R Thomas (2020) Hospital characteristics, rather than surgical volume, predict length of stay following colorectal cancer surgery. Australian and New Zealand Journal of Public Health, 44(1), 73-82. DOI
  43. Earo Wang, Dianne Cook, Rob J Hyndman (2020) Calendar-based graphics for visualizing people's daily schedules. J Computational & Graphical Statistics, 29(3), 490-502. DOI pdf
  44. George Athanasopoulos, Puwasala Gamakumara, Anastasios Panagiotelis, Rob J Hyndman and Mohamed Affan (2020) Hierarchical forecasting. Macroeconomic forecasting in the era of big data, ed. P. Fuleky, Springer, Chapter 21, pp.689-719. DOI Amazon pdf code
  45. Earo Wang, Dianne Cook and Rob J Hyndman (2020) A new tidy data structure to support exploration and modeling of temporal data. J Computational & Graphical Statistics, 29(3), 466-478. DOI pdf
  46. Pablo Montero-Manso, George Athanasopoulos, Rob J Hyndman, Thiyanga S Talagala (2020) FFORMA: Feature-based Forecast Model Averaging. International Journal of Forecasting, 36(1), 86-92. DOI pdf code
  47. Spyros Makridakis, Rob J Hyndman, Fotios Petropoulos (2020) Forecasting in social settings: the state of the art. International Journal of Forecasting, 36(1), 15-28. DOI pdf
  48. Rob J Hyndman (2020) A brief history of forecasting competitions. International Journal of Forecasting, 36(1), 7-14. DOI pdf code
  49. D Vicendese, L Te Marvelde, PD McNair, K Whitfield, DR English, S Ben Taieb, RJ Hyndman, R Thomas (2019) Predicting the whole distribution with methods for depth data analysis demonstrated on a colorectal cancer treatment study. Statistics and Data Science, RSSDS 2019 (ed. Nguyen H). Communications in Computer and Information Science 1150, pp 162-182. Springer, Singapore. DOI
  50. Mahdi Abolghasemi, Rob J Hyndman, Garth Tarr, Christoph Bergmeir (2019) Machine learning applications in time series hierarchical forecasting. arXiv
  51. Priyanga Dilini Talagala, Rob J Hyndman, Catherine Leigh, Kerrie Mengersen and Kate Smith‑Miles (2019) A feature-based procedure for detecting technical outliers in water-quality data from in situ sensors. Water Resources Research, 55(11), 8547-8568. DOI pdf
  52. Catherine Leigh, Sevvandi Kandanaarachchi, James M McGree, Rob J Hyndman, Omar Alsibai, Kerrie Mengersen, Erin E Peterson (2019) Predicting sediment and nutrient concentrations from high-frequency water-quality data. PLoS ONE, 14(8): e0215503. DOI arXiv
  53. Shanika L Wickramasuriya, George Athanasopoulos, Rob J Hyndman (2019) Optimal forecast reconciliation for hierarchical and grouped time series through trace minimization. J. American Statistical Association, 114(526), 804-819. DOI pdf
  54. Alexander Severinsen, Rob J Hyndman (2019) Quantification of energy savings from energy conservation measures in buildings using machine learning. In: ECEEE Summer Study Proceedings. Presqu'île de Giens, France. 3-8 June 2019. pdf
  55. Rob J Hyndman, Dianne Cook (2019) You are what you vote: the social and demographic factors that influence your vote. The Conversation. Online
  56. Michael Hirsch, Dianne Cook, Paul Lajbcygier, Rob J Hyndman (2019) Revealing high-frequency trading provision of liquidity with visualization. In: Proceedings of the 2nd International Conference on Software Engineering and Information Management. Bali, Indonesia. 10-13 January 2019. pp. 157-165. ACM. pdf pdf
  57. Insha Ullah, Kerrie Mengersen, Rob J Hyndman, James McGree (2019) Detection of cybersecurity attacks through analysis of web browsing activities using principal component analysis. pdf
  58. Catherine Leigh, Omar Alsibai, Rob J Hyndman, Sevvandi Kandanaarachchi, Olivia C King, James M McGree, Catherine Neelamraju, Jennifer Strauss, Priyanga Dilini Talagala, Ryan S Turner, Kerrie Mengersen, Erin E Peterson (2019) A framework for automated anomaly detection in high frequency water-quality data from in situ sensors. Science of the Total Environment, 664, 885-898. DOI arXiv
  59. Anastasios Panagiotelis, George Athanasopoulos, Rob J Hyndman, Bin Jiang, Farshid Vahid (2019) Macroeconomic forecasting for Australia using a large number of predictors. International Journal of Forecasting, 35(2), 616-633. DOI pdf
  60. Jue Wang, George Athanasopoulos, Rob J Hyndman and Shouyang Wang (2018) Crude oil price forecasting based on internet concern using an extreme learning machine. International Journal of Forecasting, 34(4), 665-677. DOI pdf
  61. Alexander Dokumentov, Rob J Hyndman, Leonie Tickle (2018) Bivariate smoothing of mortality surfaces with cohort and period ridges. Stat, 7: e199. DOI pdf
  62. Thiyanga S Talagala, Rob J Hyndman, George Athanasopoulos (2018) Meta-learning how to forecast time series. pdf
  63. Fotios Petropoulos, Rob J Hyndman, Christoph Bergmeir (2018) Exploring the sources of uncertainty: why does bagging for time series forecasting work?. European Journal of Operational Research, 268(2), 545-554. DOI pdf
  64. Rob J Hyndman, Xueqin Lin, Pierre Pinson (2018) Visualizing big energy data. IEEE Power and Energy Magazine, 16(3), 18-25. DOI
  65. Christoph Bergmeir, Rob J Hyndman, Bonsoo Koo (2018) A note on the validity of cross-validation for evaluating autoregressive time series prediction. Computational Statistics and Data Analysis, 120, 70-83. DOI pdf
  66. Tetteh Dugbaza, Fadwa Al-Yaman, Tracy Dixon, Richard Solon, Ching Choi, Rob Hyndman, Len Smith (2017) Trends in Indigenous mortality and life expectancy 2001-2015. Cat. no. IHW 174. Canberra: Australian Institute of Health and Welfare. Online
  67. Souhaib Ben Taieb, James W Taylor, Rob J Hyndman (2017) Coherent Probabilistic Forecasts for Hierarchical Time Series. Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3348-3357. Online pdf
  68. George Athanasopoulos, Rob J Hyndman, Nikolaos Kourentzes, Fotios Petropoulos (2017) Forecasting with temporal hierarchies. European Journal of Operational Research, 262(1) 60–74. DOI pdf
  69. David M Studdert, Yifan Zhang, Jonathan A Rodden, Rob J Hyndman, Garen J Wintemute (2017) Handgun acquisitions in California after two mass shootings. Annals of Internal Medicine, 166(10), 698-706. DOI
  70. Han Lin Shang, Rob J Hyndman (2017) Grouped functional time series forecasting: an application to age-specific mortality rates. J Computational & Graphical Statistics, 26(2), 330-343. DOI pdf
  71. Paul Goodwin, Fotios Petropoulos, Rob J Hyndman (2017) A note on upper bounds for forecast-value-added relative to naïve forecasts. Journal of the Operational Research Society, 68(9), 1082–1084. DOI pdf
  72. Timur Behlul, Anastasios Panagiotelis, George Athanasopoulos, Rob J Hyndman, Farshid Vahid (2017) The Australian Macro Database: An online resource for macroeconomic research in Australia. pdf
  73. Rachel Tham, Don Vicendese, Shyamali C Dharmage, Rob J Hyndman, Ed Newbigin, Emma Lewis, Molly O'Sullivan, Adrian J Lowe, Philip Taylor, Philip Bardin, Mimi L Tang, Michael J Abramson, Bircan Erbas. (2017) Associations between outdoor fungal spores and childhood and adolescent asthma hospitalisations. Journal of Allergy and Clinical Immunology, 139(4), 1140–1147.e4. DOI
  74. Ingrida Steponavičė, Rob J Hyndman, Kate Smith‑Miles, Laura Villanova (2017) Dynamic Algorithm Selection for Pareto Optimal Set Approximation. Journal of Global Optimization,  67(1), 263–282. DOI pdf
  75. Yanfei Kang, Rob J Hyndman, Kate Smith‑Miles (2017) Visualising forecasting algorithm performance using time series instance spaces. International Journal of Forecasting 33(2), 345-358. DOI pdf
  76. John L Pearce, Madison Hyer, Rob J Hyndman, Margaret Loughnan, Martine Dennekamp, Neville Nicholls (2016) Exploring the influence of short-term temperature patterns on temperature-related mortality: a case-study of Melbourne, Australia. Environmental Health 15:107. DOI
  77. Christoph Bergmeir, Rob J Hyndman, José M Benítez (2016) Bagging exponential smoothing methods using STL decomposition and Box-Cox transformation. International Journal of Forecasting 32(2), 303-312. DOI pdf
  78. Ingrida Steponavičė, Mojdeh Shirazi‑Manesh, Rob J Hyndman, Kate Smith‑Miles, Laura Villanova (2016) On sampling methods for costly multi-objective black-box optimization. In Advances in Stochastic and Deterministic Global Optimization, ed. P.M. Pardalos, A. Zhigljavsky, J. Žilinskas. Springer, pp. 273–296. DOI Amazon pdf
  79. Souhaib Ben Taieb, Raphael Huser, Rob J Hyndman and Marc G Genton (2016) Forecasting uncertainty in electricity smart meter data by boosting additive quantile regression. IEEE Transactions on Smart Grid 7(5), 2448-2455. DOI pdf
  80. Rob J Hyndman, Alan Lee, Earo Wang (2016) Fast computation of reconciled forecasts for hierarchical and grouped time series. Computational Statistics and Data Analysis 97, 16-32. DOI pdf
  81. Bin Jiang, Anastasios Panagiotelis, George Athanasopoulos, Rob J Hyndman, Farshid Vahid (2016) Bayesian rank selection in multivariate regression. pdf
  82. Tao Hong, Pierre Pinson, Shu Fan, Hamidreza Zareipour, Alberto Troccoli, Rob J Hyndman (2016) Probabilistic Energy Forecasting: Global Energy Forecasting Competition 2014 and Beyond. International Journal of Forecasting 32(3), 896–913. DOI
  83. Thomas Url, Rob J Hyndman, Alexander Dokumentov (2016) Long-term forecasts of age-specific participation rates with functional data models. pdf
  84. Rob J Hyndman (2015) Another look at forecast-accuracy metrics for intermittent demand. Chapter 3.4, pages 204-211, in "Business Forecasting: Practical Problems and Solutions", John Wiley & Sons. Amazon
  85. Rob J Hyndman (2015) Measuring forecast accuracy. Chapter 3.4, pages 177-184, in "Business Forecasting: Practical Problems and Solutions", John Wiley & Sons. Amazon
  86. Rob J Hyndman (2015) New IJF editors. International Journal of Forecasting 31(4), 1104. DOI
  87. Rob J Hyndman, Mohsen B Mesgaran, Roger D Cousens (2015) Statistical issues with using herbarium data for the estimation of invasion lag-phases. Biological Invasions 17(12), 3371-3381. DOI pdf
  88. Bircan Erbas, SC Dharmage, ML Tang, Md Akram, KJ Allen, Don Vicendese, JM Davies, Rob J Hyndman, Ed J Newbigin, PE Taylor, PG Bardin, Michael J Abramson (2015) Do human rhinovirus infections and food allergy modify grass pollen–induced asthma hospital admissions in children?. Journal of Allergy and Clinical Immunology 136(4), 1118–1120.e2. DOI
  89. Souhaib Ben Taieb, Raphael Huser, Rob J Hyndman and Marc G Genton (2015) Probabilistic time series forecasting with boosted additive models: an application to smart meter data. pdf
  90. Rob J Hyndman, Earo Wang, Nikolay Laptev (2015) Large-scale unusual time series detection. In: Proceedings of the IEEE International Conference on Data Mining. Atlantic City, NJ, USA. 14–17 November 2015. DOI pdf
  91. Ken J Harrison, Rob J Hyndman (2015) Modelling the participation function with a one-parameter family of cubic splines. Report to ACTAC ITI technical committee. pdf
  92. Rob J Hyndman (2015) Discussion of “High-dimensional autocovariance matrices and optimal linear prediction”. Electronic J Statistics 9, 792-796. DOI pdf
  93. Rob J Hyndman (2015) Change to the IJF editors. International Journal of Forecasting 31(2), 391. DOI
  94. Rob J Hyndman, George Athanasopoulos (2014) Optimally reconciling forecasts in a hierarchy. Foresight (Fall, 2014). pp.42-48. pdf
  95. Rachel Tham, Shyamali Dharmage, Philip Taylor, Ed Newbigin, Mimi LK Tang, Don Vicendese, Rob J Hyndman, Michael J Abramson and Bircan Erbas (2014) Outdoor fungal spores are associated with child asthma hospitalisations - a case-crossover study. European Respiratory Journal 44(Suppl 58). pdf
  96. Ingrida Steponavičė, Rob J Hyndman, Kate Smith‑Miles, Laura Villanova (2014) Efficient identification of the Pareto optimal set. Learning and Intelligent Optimization, Lecture Notes in Computer Science, 8426, 341-352. DOI Online pdf
  97. Alexander Dokumentov, Rob J Hyndman (2014) Low-dimensional decomposition, smoothing and forecasting of sparse functional data. pdf
  98. Rob J Hyndman, Farah Yasmeen (2014) Common functional principal component models for mortality forecasting. Contributions in infinite-dimensional statistics and related topics, Chapter 29, pages 161-166. Online pdf
  99. Rob J Hyndman, Shu Fan (2014) Monash Electricity Forecasting Model. pdf
  100. Souhaib Ben Taieb, Rob J Hyndman (2014) A gradient boosting approach to the Kaggle load forecasting competition. International Journal of Forecasting 30(2), 382–394. DOI pdf
  101. Souhaib Ben Taieb, Rob J Hyndman (2014) Boosting multi-step autoregressive forecasts. Proceedings of the International Conference on Machine Learning (ICML), Beijing, China. pdf
  102. Heather Booth, Rob J Hyndman, Leonie Tickle (2014) Prospective life tables. Chapter 8, pages 323-348, Computational Actuarial Science with R, Chapman and Hall/CRC. edited by Arthur Charpentier. Amazon pdf
  103. Laura Villanova, Rob J Hyndman, Kate Smith‑Miles, Irene Poli (2013) Nonparametric and semiparametric response surface methodology: a review of designs, models and optimization techniques. pdf
  104. Rob J Hyndman, Heather Booth, Farah Yasmeen (2013) Coherent mortality forecasting: the product-ratio method with functional time series models. Demography 50(1), 261-283. DOI pdf
  105. Rob J Hyndman (2013) A change of editors. International Journal of Forecasting 29(1), page A1.
  106. Souhaib Ben Taieb, Rob J Hyndman (2012) Recursive and direct multi-step forecasting: the best of both worlds. pdf
  107. Bircan Erbas, SC Dharmage, M O’Sullivan, Md Akram, Ed Newbigin, P Taylor, Don Vicendese, Rob J Hyndman, ML Tang, Michael J Abramson (2012) A case-crossover design to examine the role of aeroallergens and respiratory viruses on childhood asthma exacerbations requiring hospitalisation: The MAPCAH study. Journal of Biometrics and Biostatistics, S7-018. DOI
  108. Shu Fan, Rob J Hyndman (2012) Short-term load forecasting based on a semi-parametric additive model. IEEE Transactions on Power Systems 27(1), 134-141. DOI pdf
  109. Bircan Erbas, Md Shahid Ullah, Md Rob J Hyndman, Michelle Scollo, Michael Abramson (2012) Forecasts of COPD mortality in Australia: 2006-2025. BMC Medical Research Methodology 12:17. DOI
  110. Alysha M De Livera, Rob J Hyndman, Ralph D Snyder (2011) Forecasting time series with complex seasonal patterns using exponential smoothing. Journal of the American Statistical Association 106(496), 1513-1527. DOI pdf
  111. John L Pearce, Jason Beringer, Neville Nicholls, Rob J Hyndman, Petteri Uotila, Nigel J Tapper (2011) Investigating the influence of synoptic-scale circulation on air quality using self-organizing maps and generalized additive modelling. Atmospheric Environment 45(1), 128-136. DOI pdf
  112. Han Lin Shang, Heather Booth, Rob J Hyndman (2011) Point and interval forecasts of mortality rates and life expectancy: a comparison of ten principal component methods. Demographic Research 25(5), 173-214. DOI
  113. Davide Carta, Laura Villanova, Stefano Costacurta, Alessandro Patelli, Irene Poli, Simone Vezzu, Paolo Scopece, Fabio Lisi, Kate Smith‑Miles, Rob J Hyndman, Anita J Hill, Paolo Falcaro (2011) Method for optimizing coating properties based on an evolutionary algorithm approach. Analytical Chemistry 83(16), 6373–6380. DOI
  114. Rob J Hyndman (2011) Giving a useR! talk. The R Journal, 3(1), 69–71. pdf
  115. Haiyan Song, Rob J Hyndman (2011) Tourism forecasting: an introduction. International Journal of Forecasting, 27(3), 817–821. DOI
  116. Shu Fan, Rob J Hyndman (2011) The price elasticity of electricity demand in South Australia. Energy policy 39(6), 3709-3719. DOI pdf
  117. Rob J Hyndman, Roman A. Ahmed, George Athanasopoulos, Han L Shang (2011) Optimal combination forecasts for hierarchical time series. Computational Statistics and Data Analysis 55(9), 2579-2589. DOI pdf
  118. Jae H Kim, Iain Fraser, Rob J Hyndman (2011) Improved interval estimation of long run response from a dynamic linear model: a highest density region approach. Computational Statistics and Data Analysis 55(8), 2477-2489. DOI pdf
  119. Han Lin Shang, Rob J Hyndman (2011) Nonparametric time series forecasting with dynamic updating. Mathematics and Computers in Simulation 81, 1310-1324. DOI
  120. George Athanasopoulos, Rob J Hyndman (2011) The value of feedback in forecasting competitions. International Journal of Forecasting 27(3), 845-849. DOI pdf
  121. George Athanasopoulos, Rob J Hyndman, Haiyan Song, Doris Wu (2011) The tourism forecasting competition. International Journal of Forecasting 27(3), 822-844. DOI pdf
  122. John L Pearce, Jason Beringer, Neville Nicholls, Rob J Hyndman, Nigel J Tapper (2011) Quantifying the influence of local meteorology on air quality using generalized additive modelling. Atmospheric Environment 45(6), 1328-1336. DOI pdf
  123. Stephan Kolassa, Rob J Hyndman (2010) Free open-source forecasting using R. Foresight: the International Journal of Applied Forecasting 17, 19-24. Online
  124. Ashton de Silva, Rob J Hyndman, Ralph D Snyder (2010) The vector innovations structural time series framework: a simple approach to multivariate forecasting. Statistical modelling 10(4), 353-374. DOI
  125. Jan Verbesselt, Rob J Hyndman, Achim Zeilis, Darius Culvenor (2010) Phenological change detection while accounting for abrupt and gradual trends in satellite image time series. Remote Sensing of Environment, 114(12), 2970-2980. DOI pdf
  126. Han Lin Shang, Rob J Hyndman (2010) Exploratory graphics for functional data. Interface 2010: Computing Science and Statistics, Seattle, Washington, June 16-19, 2010. pdf
  127. Shu Fan, Rob J Hyndman (2010) Short-term load forecasting based on a semi-parametric additive model. 20th Australasian Universities Power Engineering Conference, 5-8 December 2010, University of Canterbury, Christchurch, New Zealand.
  128. Farah Yasmeen, Rob J Hyndman, Bircan Erbas (2010) Forecasting age-related changes in breast cancer mortality among white and black US women. Cancer Epidemiology 34(5), 542-549. DOI pdf
  129. Rob J Hyndman, Han Lin Shang (2010) Rainbow plots, bagplots and boxplots for functional data. J Computational & Graphical Statistics 19(1), 29-45. DOI pdf
  130. Laura Villanova, Paolo Falcaro, Davide Carta, Irene Poli, Rob J Hyndman, Kate Smith‑Miles (2010) Functionalization of microarray devices: process optimization using a multiobjective PSO and multiresponse MARS modeling. 2010 IEEE Congress on Evolutionary Computation, July 18-23, Barcelona, Spain. pdf
  131. Bircan Erbas, Muhammad Akram, Dorota M Gertig, Dallas English, John L Hopper, Anne M Kavanagh, Rob J Hyndman (2010) Using functional data analysis models to estimate future time trends of age-specific breast cancer mortality for the United States and England-Wales. Journal of Epidemiology 20(2), 159-165. DOI
  132. Jan Verbesselt, Rob J Hyndman, Glenn Newnham, Darius Culvenor (2010) Detecting trend and seasonal changes in satellite image time series. Remote Sensing of Environment 114(1), 106-115. DOI
  133. Rob J Hyndman, Shu Fan (2010) Density forecasting for long-term peak electricity demand. IEEE Transactions on Power Systems 25(2), 1142-1153. DOI
  134. Rob J Hyndman (2010) Moving Averages. Contribution to the International Encyclopedia of Statistical Science, ed. Miodrag Lovric, Springer. pp.866-869. Online pdf
  135. Rob J Hyndman (2010) Business Forecasting Methods. Contribution to the International Encyclopedia of Statistical Science, ed. Miodrag Lovric, Springer. pp.185-187. Online pdf
  136. Rob J Hyndman (2010) Forecasting Overview. Contribution to the International Encyclopedia of Statistical Science, ed. Miodrag Lovric, Springer. pp.536-539. Online pdf
  137. Rob J Hyndman (2010) Encouraging replication and reproducible research. International Journal of Forecasting 26(1), pp.2-3. DOI
  138. Rob J Hyndman (2010) Changing of the guard. International Journal of Forecasting 26(1), p1. DOI
  139. Md Akram, Rob J Hyndman, J Keith Ord (2009) Exponential smoothing and non-negative data. Australian and New Zealand Journal of Statistics 51(4), 415-432. DOI pdf
  140. Rob J Hyndman, Han Lin Shang (2009) Forecasting functional time series. Journal of the Korean Statistical Society 38(3), 199-221. (With discussion). DOI
  141. Han Lin Shang, Rob J Hyndman (2009) Nonparametric time series forecasting with dynamic updating. In: 18th World IMAS/MODSIM Congress. July. Cairns, Australia. 13-17 July 2009.
  142. J Keith Ord, Anne B Koehler, Ralph D Snyder, Rob J Hyndman (2009) Monitoring processes with changing variances. International Journal of Forecasting 25(3), 518-525. DOI
  143. Xiaozhe Wang, Kate A Smith‑Miles, Rob J Hyndman (2009) Rule induction for forecasting method selection: meta-learning the characteristics of univariate time series. Neurocomputing 72, 2581–2594. DOI
  144. George Athanasopoulos, Roman A Ahmed, Rob J Hyndman (2009) Hierarchical forecasts for Australian domestic tourism. International Journal of Forecasting 25(1), 146-166. DOI
  145. Ashton de Silva, Rob J Hyndman, Ralph D Snyder (2009) A multivariate innovations state space Beveridge-Nelson decomposition. Economic modelling 26(5), 1067-1074. DOI
  146. Phillip G Gould, Anne B Koehler, J Keith Ord, Ralph D Snyder, Rob J Hyndman, Farshid Vahid-Araghi (2008) Forecasting time series with multiple seasonal patterns. European Journal of Operational Research 191(1), 207–220. DOI
  147. Andrey V Kostenko and Rob J Hyndman (2008) Forecasting without significance tests?. pdf
  148. Rob J Hyndman, Heather Booth (2008) Stochastic population forecasts using functional data models for mortality, fertility and migration. International Journal of Forecasting 24(3), 323-342. DOI
  149. Rob J Hyndman, Yeasmin Khandakar (2008) Automatic time series forecasting: the forecast package for R. Journal of Statistical Software 27(3). pdf
  150. Rob J Hyndman, Md. Akram, Blyth Archibald (2008) The admissible parameter space for exponential smoothing models. Annals of the Institute of Statistical Mathematics 60(2), 407-426. DOI
  151. Rob J Hyndman, Han Lin Shang (2008) Bagplots, boxplots and outlier detection for functional data. In Dabo-Niang, S., and Ferraty, F. (eds), Functional and Operatorial Statistics, chap 31, 201-207. DOI
  152. George Athanasopoulos, Rob J Hyndman (2008) Modelling and forecasting Australian domestic tourism. Tourism Management 29(1), 19-31. DOI
  153. Luciana Magnano, John W Boland, Rob J Hyndman (2008) Generation of synthetic sequences of half-hourly temperatures. Environmetrics 19(8), 818-835. DOI
  154. Fiona E Horn, John A Mandryk, Judith M Mackson, Sonia E Wutzke, Lynn M Weekes, Rob J Hyndman (2007) Measurement of changes in antihypertensive drug utilization following primary care educational interventions. Pharmacoepidemiology & Drug Safety 16(3), 297-308. DOI
  155. Rob J Hyndman and Md Shahid Ullah (2007) Robust forecasting of mortality and fertility rates: a functional data approach. Computational Statistics & Data Analysis 51, 4942-4956. DOI
  156. Bircan Erbas, Jiun-Horng Chang, Shyamali Dharmage, Eng Kok Ong, Rob J Hyndman, Ed Newbigin, Michael Abramson (2007) Do levels of airborne grass pollen influence asthma hospital admissions?. Clinical and Experimental Allergy 37(11), 1641-1647. DOI
  157. Pim Ouwehand, Rob J Hyndman, Ton G. de Kok, Karel H. van Donselaar (2007) A state space model for exponential smoothing with group seasonality. pdf
  158. Jae H Kim, Param Silvapulle, Rob J Hyndman (2007) Half-life estimation based on the bias-corrected bootstrap: a highest density region approach. Computational Statistics and Data Analysis 51(7), 3418-3432. DOI
  159. Rob J Hyndman, Andrey V Kostenko (2007) Minimum sample size requirements for seasonal forecasting models. Foresight: the International Journal of Applied Forecasting 6, 12-15. pdf
  160. Bircan Erbas, Rob J Hyndman, Dorota M Gertig (2007) Forecasting age-specific breast cancer mortality using functional data models. Statistics in Medicine 26(2), 458-470. DOI
  161. Rob J Hyndman, Anne B Koehler (2006) Another look at measures of forecast accuracy. International Journal of Forecasting 22(4), 679-688. DOI pdf
  162. Heather Booth, Rob J Hyndman, Leonie Tickle, Piet De Jong (2006) Lee-Carter mortality forecasting: a multi-country comparison of variants and extensions. Demographic Research 15(9), 289-310. pdf
  163. Azhong Ye, Rob J Hyndman (2006) Projection pursuit estimator for multivariate conditional densities. J. Fuzhou Univ. Nat. Sci. Ed. 34(6), 794–797. (Chinese).
  164. Rob J Hyndman (2006) Another look at measures of forecast accuracy for intermittent demand. Foresight: the International Journal of Applied Forecasting 4, 43-46. pdf
  165. Andrey V Kostenko, Rob J Hyndman (2006) A note on the categorization of demand patterns. Journal of the Operational Research Society 57, 1256-1257. DOI
  166. Xibin Zhang, Maxwell L King, Rob J Hyndman (2006) A Bayesian approach to bandwidth selection for multivariate kernel density estimation. Computational Statistics & Data Analysis 50(11), 3009-3031. DOI
  167. Jan G De Gooijer, Rob J Hyndman (2006) 25 years of time series forecasting. International Journal of Forecasting 22(3), 443-473. DOI
  168. Rob J Hyndman, J Keith Ord (2006) Twenty-five years of forecasting. International Journal of Forecasting, 22(3), 413-414. DOI
  169. Xiaozhe Wang, Kate A Smith, Rob J Hyndman (2006) Characteristic-based clustering for time series data. Data Mining and Knowledge Discovery 13(3), 335-364. DOI
  170. John A Mandryk, Judith M Mackson, Fiona E Horn, Sonia E Wutzke, Caro-Anne Badcock, Rob J Hyndman, Lynn M Weekes (2006) Measuring change in prescription drug utilization in Australia. Pharmacoepidemiology & Drug Safety 15, 477-484. DOI
  171. Ye Azhong, Rob J Hyndman, Zinai Li (2006) Local linear multivariate regression with variable bandwidth in the presence of heteroscedasticity. pdf
  172. Denny Meyer, Rob J Hyndman (2006) The accuracy of television network rating forecasts: the effects of data aggregation and alternative models. Model Assisted Statistics and Applications 1(3), 147-155. pdf
  173. Bircan Erbas, Rob J Hyndman (2005) Sensitivity of the estimated air pollution-respiratory admissions relationship to statistical model. International Journal of Environmental Health Research 15(6), 437-448. DOI
  174. Baki Billah, Rob J Hyndman, Anne B Koehler (2005) Empirical information criteria for time series forecasting model selection. Journal of Statistical Computation and Simulation 75(10), 831-840. DOI
  175. Lydia Shenstone, Rob J Hyndman (2005) Stochastic models underlying Croston's method for intermittent demand forecasting. Journal of Forecasting 24, 389-402. DOI
  176. Rob J Hyndman (2005) Book Review of "Data Analysis and Graphics Using R: An Example-based Approach" (Maindonald and Braun, 2003). Journal of Population Research 22(2), 206–208.
  177. Xiaozhe Wang, Kate A Smith, Rob J Hyndman (2005) Dimension reduction for clustering time series using global characteristics. Lecture Notes in Computer Science, Volume 3516, April 2005, Pages 792-795. Proceedings. Computational Science - ICCS 2005: 5th International Conference, Atlanta, GA, USA, May 22-25, 2005. DOI pdf
  178. Rob J Hyndman, Md Shahid Ullah (2005) Robust forecasting of mortality and fertility rates: a functional data approach. Invited paper, Demographic Forecasting session, 55th session of the International Statistical Institute, Sydney, Australia, April 2005. pdf
  179. J Keith Ord, Ralph D Snyder, Anne B Koehler, Rob J Hyndman, Mark Leeds (2005) Time series forecasting: the case for the single source of error state space approach. pdf
  180. Rob J Hyndman, Anne B Koehler, J Keith Ord, Ralph D Snyder (2005) Prediction intervals for exponential smoothing using two new classes of state space models. Journal of Forecasting 24(1), 17-37. DOI
  181. Rob J Hyndman, Maxwell L King, Ivet Pitrun, Baki Billah (2005) Local linear forecasts using cubic smoothing splines. Australian and New Zealand Journal of Statistics 47(1), 87-99. DOI
  182. Rob J Hyndman (2005) Editorial. International Journal of Forecasting 21(1), 1. DOI
  183. Rob J Hyndman (2004) The interaction between trend and seasonality. International Journal of Forecasting 20(4), 561-563. DOI
  184. Peter G Hall, Rob J Hyndman, Yanan Fan (2004) Nonparametric confidence intervals for receiver operating characteristic curves. Biometrika 91(3), 743-750. DOI
  185. Ralph D. Snyder, Anne B. Koehler, Rob J Hyndman, J. Keith Ord (2004) Exponential smoothing models: Means and variances for lead-time demand. European Journal of Operational Research 158(2) 444-455. DOI
  186. Len Smith, Rob J Hyndman, Simon N Wood (2004) Spline interpolation for demographic variables: the monotonicity problem. Journal of Population Research 21(1), 95-98. DOI
  187. Francoise Rateau, Bastien Laumonier Rob J Hyndman (2003) Normative data for the Test of Visual Analysis Skills on an Australian population. Optometry and Vision Science 80(6), 431-436. pdf
  188. Rob J Hyndman, Baki Billah (2003) Unmasking the Theta method. International Journal of Forecasting 19, 287-290. DOI
  189. Peter G Hall, Rob J Hyndman (2003) Improved methods for bandwidth selection when estimating ROC curves. Statistics and Probability Letters 64 181-189. DOI
  190. Tianxi Cai, Rob J Hyndman, Matthew P Wand (2002) Mixed model-based hazard estimation. J Computational & Graphical Statistics 11(4), 784-798. DOI
  191. Rob J Hyndman, Qiwei Yao (2002) Nonparametric estimation and symmetry tests for conditional density functions. Journal of Nonparametric Statistics 14(3), 259-278. DOI
  192. Rob J Hyndman, Anne B Koehler , Ralph D Snyder, Simone Grose (2002) A state space framework for automatic forecasting using exponential smoothing methods. International Journal of Forecasting 18(3), 439-454. DOI
  193. Rob J Hyndman, Ralph D Snyder (2002) Kalman filter. In: Informed Student Guide to Management Science, ed., Hans Daellenbach and Robert Flood, Thomson: London. Amazon pdf
  194. Rob J Hyndman (2002) Box-Jenkins modelling. In: Informed Student Guide to Management Science, ed., Hans Daellenbach and Robert Flood, Thomson: London. Amazon pdf
  195. Rob J Hyndman (2002) ARIMA processes. In: Informed Student Guide to Management Science, ed., Hans Daellenbach and Robert Flood, Thomson: London. Amazon pdf
  196. Jeff Racine, Rob J Hyndman (2002) Using R to Teach Econometrics. Journal of Applied Econometrics 17(2), 149-174. DOI
  197. Martin Predavec, Charles Kreb,  Kajell Danell, Rob J Hyndman (2001) Cycles and synchrony in the Collared Lemming (Dicrostonyx groenlandicus) in Arctic North America. Oecologia 126, 216-224. DOI
  198. Rob J Hyndman (2001) It's time to move from 'what' to 'why'. International Journal of Forecasting 17(4), 567-570. DOI
  199. Bircan Erbas, Rob J Hyndman (2001) Data visualization for time series in environmental epidemiology. Journal of Epidemiology and Biostatistics 6(6), 433-443. pdf
  200. Bircan Erbas, Rob J Hyndman (2001) Statistical methodological issues in studies of air pollution and respiratory disease. 6th International Workshop on Statistical Modelling, Odense, Denmark. 2-6 July, 2001. pdf
  201. David Bashtannyk, Rob J Hyndman (2001) Bandwidth selection for kernel conditional density estimation. Computational Statistics and Data Analysis 36(3), 279-298. DOI
  202. Gary Grunwald, Rob J Hyndman, Leanna Tedesco, Richard L Tweedie (2000) Non-Gaussian conditional linear AR(1) models. Australian and New Zealand Journal of Statistics 42(4), 479-495. DOI
  203. Richard Fraccaro, Rob J Hyndman, Alan Veevers (2000) Residual diagnostic plots for model mis-specification in time series regression. Australian and New Zealand Journal of Statistics 42(4), 463-477. DOI
  204. Bircan Erbas, Rob J Hyndman (2000) Seasonal adjustment methods for the analysis of respiratory disease in environmental epidemiology. pdf
  205. Rob J Hyndman (2000) Book review of "Nonparametric econometrics" (Pagan and Ullah, 1999). The Economic Record 76, 309–311.
  206. Rob J Hyndman, Gary K Grunwald (2000) Generalized additive modelling of mixed distribution Markov models with application to Melbourne's rainfall. Australian and New Zealand Journal of Statistics 42(2), 145-158. DOI
  207. Rob J Hyndman (1999) Book Review of "A primer of mathematical writing" (Krantz, 1997) and "Handbook of writing for the mathematical sciences" (Higham, 1998). Australian & New Zealand Journal of Statistics 41(2), 252-253.
  208. Rob J Hyndman (1999) Book review of "Statistically speaking: a dictionary of quotations" (Gaither and Cavazos-Gaither, 1996). Australian & New Zealand Journal of Statistics, 41(3), 380-382.
  209. Rob J Hyndman (1999) Book review of "Chance encounters: a first course in data analysis and inference" (Wild & Seber, 2000). Australian & New Zealand Journal of Statistics 41(4), 493–495.
  210. Rob J Hyndman (1999) Nonparametric additive regression models for binary time series. Proceedings, 1999 Australasian Meeting of the Econometric Society, 7-9 July 1999, University of Technology, Sydney. pdf
  211. Gary Grunwald, Rob J Hyndman (1998) Smoothing non-Gaussian time series with autoregressive structure. Computational Statistics and Data Analysis, 28, 171-191. DOI
  212. Rob J Hyndman (1998) Book Review of "Smoothing methods in Statistics" (Simonoff, 1996). Australian & New Zealand Journal of Statistics 40(2), 251–252.
  213. Rob J Hyndman (1998) Book review of "Leading personalities in the Statistical Sciences: from the seventeenth century to the present" (Johnson and Kotz, 1998). Australian & New Zealand Journal of Statistics 40(3), 382–383.
  214. Rob J Hyndman, Matthew P Wand (1997) Nonparametric autocovariance function estimation. Australian Journal of Statistics (1997), 39, 313-325.
  215. Gary K Grunwald, Kais Hamza, Rob J Hyndman (1997) Some properties and generalizations of non-negative Bayesian time series models. Journal of the Royal Statistical Society Series B 59, 615-626. DOI
  216. Paul Lajbcygier, Andrew Flitman, Anthony Swan, Rob J Hyndman (1997) The pricing and trading of options using a hybrid neural network model with historical volatility. NeuroVe$t Journal 5(1), 27-41.
  217. Rob J Hyndman and Yanan Fan (1996) Sample quantiles in statistical packages. American Statistician 50 361-365. JSTOR
  218. Rob J Hyndman, David Bashtannyk, Gary K Grunwald (1996) Estimating and visualizing conditional densities. J Computational & Graphical Statistics, 5, 315-336. JSTOR
  219. Rob J Hyndman (1996) Computing and graphing highest density regions. American Statistician, 50, 120-126. JSTOR
  220. Rob J Hyndman (1996) Book review of "Kernel smoothing" (Wand and Jones, 1995). Journal of Applied Statistics 23, 677–678.
  221. Gary K Grunwald, Rob J Hyndman, Leanna Tedesco (1996) A unified view of linear AR(1) models. pdf
  222. Rob J Hyndman (1995) Highest density forecast regions for non-linear and non-normal time series models. Journal of Forecasting 14, 431-441. DOI
  223. Rita L Axford, Gary K Grunwald, Rob J Hyndman (1995) The use of information technology in the research process. Invited chapter in Health informatics: an overview, (ed. Hovenga, Kidd, Cesnik). pdf
  224. Rob J Hyndman (1995) The problem with Sturges' rule for constructing histograms. pdf
  225. Rob J Hyndman (1994) Approximations and boundary conditions for continuous time threshold autoregressive processes. Journal of Applied Probability, 31(4), 1103-1109. JSTOR
  226. Rob J Hyndman (1993) Yule-Walker estimates for continuous-time autoregressive models. Journal of Time Series Analysis 14, 281-296. DOI
  227. Rob J Hyndman (1992) Continuous-time threshold autoregressive modelling. PhD thesis, The University of Melbourne. pdf
  228. Peter J Brockwell and Rob J Hyndman (1992) On continuous-time threshold autoregression. International Journal of Forecasting, 18(3), 439-454. DOI
  229. Peter J Brockwell, Rob J Hyndman, Gary K Grunwald (1991) Continuous time threshold autoregressive models. Statistica Sinica 1, 401-410. pdf
  230. Rob J Hyndman (1987) Calculating the odds. In Faces of gambling, Proceedings of the second national conference of the National Association for Gambling Studies (1986). ed. Michael Walker. pp.139-152.
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