Talk given to a joint meeting of the Statistical Society of Australia (Victorian branch) and the Melbourne Data Science Meetup Group.
The latest version of my talk on electricity demand forecasting. Given to the "Monash Energy Materials and Systems Institute"
Talk given at the ACEMS Big data workshop, QUT.
Talk given at the Institute of Statistical Science, Academia Sinica, Taipei, Taiwan.
Workshop held at UWA on 23-25 September 2014.
Talk given at the International Symposium on Forecasting, Rotterdam.
A short course given at Humboldt University, Berlin, 24-25 June 2014.
A two-part seminar given at the Energy Forum, Valais/Wallis, Switzerland.
A one-day workshop for the Australian Bureau of Statistics
Talk presented at the conference "New Trends on Intelligent Systems and Soft Computing 2014", University of Granada, Spain. 13-14 February 2014. Abstract Many applications require a large number of time series to be forecast completely automatically. For example, manufacturing companies often require weekly forecasts of demand for thousands of products
A talk given today at Macquarie University, Sydney.
Talk given at University of Sydney today.
Talk given at EURO/INFORMS, Rome, 1 July 2013 And at UseR! 2013, Albacete, Spain, 10 July 2013.
A keynote talk given at the International Symposium on Forecasting, Seoul, South Korea. 25 June 2013.
Keynote address. Young Statisticians Conference 2013. Abstract: For 25 years I have been an intrepid statistical consultant, tackling the wild frontiers of real data, real problems and real time constraints. I have faced problems ranging from linguistics to river beds, from making paper plates to selling pies at the MCG,
Melbourne R Users' Group Tuesday 20 November 2012 Deloitte, Level 11, 550 Bourke Street, Melbourne Slides and video on my blog.
Invited talk, Australian Statistical Conference, Adelaide, 10 July 2012. COMPSTAT 2012, Cyprus, 29 August 2012. Seminar, Lancaster University, 10 September 2012. Abstract: Many applications require a large number of time series to be forecast completely automatically. For example, manufacturing companies often require weekly forecasts of demand for thousands of products
Melbourne R Users' Group Thursday, October 27, 2011, 6:00 PM Deloitte, Level 11 (Culture Room), 550 Bourke Street, Melbourne I will look at the various facilities for time series forecasting available in R, concentrating on the forecast package. This package implements several automatic methods for forecasting time series including forecasts
Talk given at University of Melbourne, 11 October 2011. University of Adelaide, 16 March 2012 Monash University, 16 May 2012 La Trobe University, 24 May 2012 EDF, Paris. 4 September 2012 University of New South Wales, 1 November 2012 Abstract: Electricity demand forecasting plays an important role in short-term load
Talk to be given at the International Symposium on Forecasting, Prague, 26–29 June 2011. Slides
University of Wollongong, 8 September 2010. Statistical Society of Australia, Victorian Branch, 28 September 2010. Updated version. September 2012. Abstract: Functional time series are curves that are observed sequentially in time. In demography, such data arise as the curves formed by annual death rates as a function of age or
Talk to be given at the International Symposium on Forecasting, San Diego, 20-23 June 2010. Slides
Presentation to College of Management, University of Fuzhou, China. 25 June 2009. Slides
Keynote address, International Symposium on Forecasting, June 2009. Abstract Extremely bad data, extremely poor methods and extremely difficult problems will be used as the basis of some extremely useful lessons. I will describe three cases from my consulting experience and draw some general lessons that are widely applicable. The first
Presentation to a meeting of Australian Deans and Directors of Graduate Studies, 1 May 2009. Slides
Indian Institute of Management Calcutta. Melbourne, 18 July 2008. Slides
R workshop. Melbourne, 29 June 2008. There was an R workshop on 28-29 June, just before the Australian Statistical Conference. I put in an appearance on the second day. Building R packages for Windows handout slides
R workshop. Melbourne, 29 June 2008. There was an R workshop on 28-29 June, just before the Australian Statistical Conference. I put in an appearance on the second day. Time series and forecasting in R handout slides
Australian Statistics Conference. Melbourne, July 2008. When: June 19-21, 2008 Where: First International Workshop on Functional and Operatorial Statistics, Toulouse When : July 2008 Where : Australian Statistical Conference Melbourne, Australia Speakers: Professor Rob J Hyndman, Monash University & Han Lin Shang, Monash University Abstract: We propose some new tools
When: 22-25 June 2008 Where: International Symposium on Forecasting, Nice, France Abstract: The most common forecasting methods in business are based on exponential smoothing and the most common time series in business are inherently non-negative. Therefore it is of interest to consider the properties of the potential stochastic models underlying
When: 22 February 2008 Where: Australian Frontiers of Science Abstract: Functional time series are curves that are observed sequentially in time. For example, the curve of death rate as a function of age is observed annually. Yield curves in finance (essentially interest rates as a function of the term of
When: 27 November 2007 Where: Knibbs Lecture, Statistical Society of Australia Abstract: Forecasters had an inauspicious beginning, dabbling with divination, sheep's livers and vapour-ridden caves in the mountains of Greece. Then there was a time when forecasters could be charged with vagrancy! Their reputations are still tarnished, but their tools
25 October 2007 Mr Chancellor, Madam Deputy Vice-Chancellor, colleagues, guests, and especially graduates. I would like to congratulate all of you who are graduating tonight. It is a great achievement to have completed a university degree, andyoushould all feel very, very proud of your accomplishment. This is one of the
When: 25 June 2007 Where: International Symposium on Forecasting, New York Abstract: Peak electricity demand forecasting is important in medium and long-term planning of electricity supply. Extreme demand often leads to supply failure with consequential business and social disruption. Forecasting extreme demand events is therefore an important problem in energy
When: 12.00noon, Thu 22nd February 2007 Where: Room 213, Richard Berry Building, The University of Melbourne When: 2.30pm, Fri 1 June 2007 Where: Room 457, Menzies Building, Monash University (Clayton) Abstract: I will present a new approach to age-specific forecasting of population based on separate forecasts of mortality, fertility and
What: 2006 Belz lecture, Statistical Society of Australia (Victorian branch) When: 6.15pm, 24 October 2006 Where: Old Geology Theatre 1, University of Melbourne Abstract: Forecasters had an inauspicious beginning, dabbling with divination, sheep's livers and vapour-ridden caves in the mountains of Greece. Then there was a time when forecasters could
When: June 2006 Where: UseR! conference, Vienna, Austria Slides
When: June 2006 Where: International Symposium on Forecasting, Santander, Spain Speakers: Rob J Hyndman and Roman A. Ahmed Slides (3.0Mb)