Some of these seminars were given more than once, but to avoid repetition, repeats are not always listed.

Youtube

Recent seminars I've given

2022

  • Decomposing time series with complex seasonality. (23 August 2022) More info...
  • Creating social good for forecasters. (10 July 2022) More info...
  • Developing good research habits. (22 March 2022) More info...
  • Forecasting the old-age dependency ratio to determine a sustainable pension age. (24 February 2022) More info...
  • Feature-based time series analysis. (2 February 2022) More info...
  • Forecasting the future and the future of forecasting. (17 January 2022) More info...

2021

  • Feasts & fables: modern tools for time series analysis. (17 November 2021) YouTube More info...
  • Uncertain futures: AAS2021. (3 November 2021) YouTube More info...
  • Feasts & fables: Time series analysis using R. (28 September 2021) More info...
  • The geometry of forecast reconciliation. (16 September 2021) More info...
  • GRATIS: GeneRAting TIme Series with diverse and controllable characteristics. (10 September 2021) YouTube More info...
  • Uncertain futures: what can we forecast and when should we give up?. (17 August 2021) YouTube More info...
  • Probabilistic ensemble forecasting of Australian COVID-19 cases. (29 June 2021) YouTube More info...
  • Forecasting elements that stand the test of time. (6 May 2021) YouTube More info...
  • Seriously social podcast. (12 April 2021) More info...
  • Forecasting impact podcast. (6 February 2021) More info...

2020

2019

  • The journal game. (29 October 2019) More info...
  • Forecasts are always wrong (but we need them anyway). (9 October 2019) More info...
  • Feature-based time series analysis. (27 September 2019) More info...
  • Tidy time series analysis in R. (27 September 2019) More info...
  • Tidy time series analysis in R. (26 September 2019) More info...
  • Forecasting is not prophecy: dealing with high-dimensional probabilistic forecasts in practice. (21 August 2019) More info...
  • High-dimensional time series analysis. (17 August 2019) More info...
  • A feast of time series tools. (19 June 2019) YouTube More info...
  • Advancing forecasting research and practice. (19 June 2019) More info...
  • Feature-based forecasting algorithms for large collections of time series. (25 January 2019) YouTube More info...

2018

  • Data visualization for functional time series. (11 December 2018) More info...
  • Seasonal functional autoregressive models. (9 December 2018) More info...
  • High-dimensional time series analysis. (5 December 2018) More info...
  • Forecasting competitions. (30 November 2018) More info...
  • Feature-based time series analysis. (26 November 2018) More info...
  • Writing for Researchers. (16 October 2018) YouTube More info...
  • Forecasting the future of the power industry: What can you learn from smart meter data?. (18 September 2018) More info...
  • ACEMS Forecasting Workshop. (26 July 2018) More info...
  • Tidy forecasting in R. (13 July 2018) YouTube More info...
  • Forecasting: principles and practice (NYC). (25 June 2018) More info...
  • Feature-based time series analysis. (21 June 2018) More info...
  • Tidy forecasting in R. (19 June 2018) More info...
  • High dimensional time series analysis. (9 April 2018) More info...
  • Research++: what you should know about being a researcher but probably don't. (23 March 2018) More info...

2017

  • Probabilistic outlier detection and visualization of smart metre data. (13 December 2017) More info...
  • 2017 Beijing Workshop on Forecasting. (18 November 2017) More info...
  • High dimensional time series analysis. (1 November 2017) More info...
  • Analysing sub-daily time series data. (12 October 2017) More info...
  • Forecasting: principles and practice (UWA). (26 September 2017) More info...
  • High-dimensional time series. (21 September 2017) More info...
  • Biggish time series data. (25 August 2017) More info...
  • Optimal forecast reconcilation. (25 August 2017) More info...
  • Visualizing and forecasting big time series data. (11 August 2017) More info...
  • Using data to tackle poverty. (14 July 2017) More info...
  • Probabilistic outlier detection and visualization of smart metre data. (22 June 2017) More info...
  • Time Series in R: Forecasting and Visualisation. (29 May 2017) More info...
  • Follow-up Forecasting Forum. (18 April 2017) More info...
  • Software for honours students. (4 April 2017) More info...
  • Probabilistic energy forecasting for smart grids and buildings. (21 March 2017) More info...

2016

  • Forecasting Using R (Eindhoven). (19 October 2016) More info...
  • Reconciling forecasts: the hts and thief packages. (13 October 2016) More info...
  • Forecasting large collections of related time series. (15 September 2016) More info...
  • Exploring time series collections used for forecast evaluation. (20 June 2016) More info...
  • Automatic foRecasting using R. (6 May 2016) More info...
  • Making forecasting easier: forecast v7 for R. (18 February 2016) More info...

2015

  • Forecasting big time series data using R. (24 October 2015) More info...
  • Optimal forecast reconciliation for big time series data. (6 October 2015) More info...
  • Google workshop: Forecasting and visualizing big time series data. (5 October 2015) More info...
  • Machine learning bootcamp. (17 August 2015) More info...
  • Exploring the feature space of large collections of time series. (29 June 2015) More info...
  • Exploring the boundaries of predictability: what can we forecast, and when should we give up?. (26 June 2015) More info...
  • Automatic algorithms for time series forecasting. (24 June 2015) More info...
  • MEFM: An R package for long-term probabilistic forecasting of electricity demand. (22 June 2015) More info...
  • Probabilistic forecasting of peak electricity demand. (18 June 2015) More info...
  • Visualization of big time series data. (26 May 2015) More info...
  • Probabilistic forecasting of long-term peak electricity demand. (22 May 2015) More info...
  • Visualization and forecasting of big time series data. (23 February 2015) YouTube More info...
  • Visualizing and forecasting big time series data. (12 January 2015) More info...

2014

  • Am I a data scientist?. (8 December 2014) YouTube More info...
  • Forecasting: principles and practice (UWA course). (23 September 2014) More info...
  • Fast computation of reconciled forecasts in hierarchical and grouped time series. (1 July 2014) More info...
  • Functional time series with applications in demography. (24 June 2014) More info...
  • Challenges in forecasting peak electricity demand. (17 June 2014) More info...
  • State space models. (30 May 2014) More info...
  • Automatic time series forecasting. (13 February 2014) More info...

2013

  • Coherent mortality forecasting using functional time series. (11 October 2013) More info...
  • Forecasting hierarchical time series. (10 October 2013) More info...
  • R tools for hierarchical time series. (3 July 2013) More info...
  • Forecasting without forecasters. (24 June 2013) More info...
  • Man vs wild data. (6 February 2013) More info...

2012

2011

  • Forecasting time series using R. (27 October 2011) YouTube More info...
  • Forecasting electricity demand distributions using a semiparametric additive model . (3 October 2011) More info...
  • Evaluating extreme quantile forecasts. (15 June 2011) More info...

2010

  • Demographic forecasting using functional data analysis. (7 September 2010) More info...
  • Coherent functional forecasts of mortality rates and life expectancy. (9 June 2010) More info...

2009

2008

  • Forecasting and the importance of being uncertain. (18 July 2008) More info...
  • Building R packages for Windows. (29 June 2008) More info...
  • Time series and forecasting in R. (29 June 2008) More info...
  • Bagplots, boxplots and outlier detection for functional data. (19 June 2008) More info...
  • Exponential smoothing and non-negative data. (15 June 2008) More info...
  • Forecasting functional time series. (22 February 2008) More info...

2007

  • Population forecasting and the importance of being uncertain. (27 November 2007) More info...
  • Graduation address. (25 October 2007) More info...
  • Forecasting medium- and long-term peak electricity demand. (25 June 2007) More info...
  • Stochastic population forecasts using functional data models. (22 February 2007) More info...

2006

  • Forecasting and the importance of being uncertain. (26 October 2006) More info...
  • Automatic time series forecasting. (26 June 2006) More info...
  • Optimal combination forecasts for hierarchical time series. (20 June 2006) More info...