Projects per year
Personal profile
Biography
Rob J Hyndman FAA FASSA is a Professor of Statistics and Head of the Department of Econometrics and Business Statistics.
His academic qualifications include a Bachelor of Science (Honours) and a PhD from the University of Melbourne. He is an accredited statistician with the Statistical Society of Australia.
He is an elected Fellow of both the Australian Academy of Science, and the Academy of the Social Sciences in Australia.
Rob has researched and consulted with a wide range of business, industry and government clients. His work has included forecasting COVID-19 cases, demand forecasting for the electricity industry, estimating life expectancy for the Australian indigenous population, and forecasting Australian tourism demand.
He is an elected fellow of the International Institute of Forecasters, an elected member of the International Statistical Institute, and a member of the International Association for Statistical Computing, Institute of Mathematical Statistics, and the Statistical Society of Australia. He was editor-in-chief of International Journal of Forecasting from 2005-2018.
Rob has received several prestigious awards for his research including the 2007 Moran Medal from the Australian Academy of Science, and the 2021 Pitman Medal from the Statistical Society of Australia. He has also been a recipient of the Dean’s Award for Innovation in Learning and Teaching (2020), the Dean's Award for Excellence in Innovation and External Collaboration (2010), the HP Innovation Research Award (2010), the Vice Chancellor's Award for Postgraduate Supervision (2008) and the Dean's award for Excellence in Research (2008).
Rob's research interests include forecasting, time series analysis, computational statistics, anomaly detection, and exploratory data analysis. He has also supervised more than 30 PhD and Masters students, with current projects including energy analytics, data visualization, hierarchical forecasting, anomaly detection and time series forecasting.
External positions
Director, International Institute of Forecasters
2005 → 2018Research area keywords
- Business Analytics
- Machine Learning
- Forecasting
- Demography
- Computational Statistics
- Time Series
- Anomaly Detection
- Exploratory Data Analysis
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Situational awareness modelling for COVID-19 using National Notifiable Disease Surveillance System data
McCaw, J. M., Golding, N., Moss, R., Shearer, F., Price, D., Ross, J., Hyndman, R. & Dawson, P.
16/08/21 → 31/12/21
Project: Research
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RACE for 2030: Reliable Affordable Clean Energy for 2030 Cooperative Research Centre (RACE for 2030 CRC)
Beins, D., Liebman, A., Bahrani, B., Leroux, A., Kraal, D., Razzaghi, R., Strengers, Y., Goodwin, S., Pink, S., Rudolph, C., Raven, R., Bergmeir, C., Saunderson, J., Leslie, G., Gangadharan, L., Islam, A., Wang, L. C., Ward, M., Xiao, E., Wallace, M., Tack, G., Stuckey, P., Li, Y., Pan, S., de Nijs, F., Buckingham, E., Denis-Ryan, A., Ens, B., Dargaville, R., Chang, X., Yu, J., White, S., Zlatanov, N., Hyndman, R., Panagiotelis, A. & Athanasopoulos, G.
1/07/20 → 30/06/31
Project: Research
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Loss-based Bayesian Prediction
Martin, G., Frazier, D., Hyndman, R. & Maneesoonthorn, W.
19/06/20 → 18/06/23
Project: Research
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Revolutionising water-quality monitoring in the information age
Mengersen, K. L., Hyndman, R., Peterson, E., McGree, J., Turner, R., Maxwell, P., Liquet, B. & Jones, J.
1/08/19 → 31/07/22
Project: Research
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ARC Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights
Hall, P., Bartlett, P., Bean, N., Burrage, K., DeGier, J., Delaigle, A., Forrester, P., Geweke, J., Kohn, R., Kroese, D., Mengersen, K. L., Pettit, A., Pollett, P., Roughan, M., Ryan, L., Taylor, P., Turner, I., Wand, M., Garoni, T., Smith-Miles, K. A., Caley, M., Churches, T., Elazar, D., Gupta, A., Harch, B., Tam, S., Weegberg, K., Willinger, W. & Hyndman, R.
Australian Research Council (ARC), Monash University – Internal Department Contribution, University of Melbourne, Queensland University of Technology , University of Adelaide, University of New South Wales, University of Queensland , University of Technology Sydney, Monash University – Internal University Contribution, Monash University – Internal Faculty Contribution, Monash University – Internal School Contribution, Roads Corporation (trading as VicRoads) (Victoria)
1/01/17 → 31/12/21
Project: Research
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Anomaly detection in high-dimensional data
Talagala, P. D., Hyndman, R. J. & Smith-Miles, K., 2021, In: Journal of Computational and Graphical Statistics. 30, 2, p. 360-374 15 p.Research output: Contribution to journal › Article › Research › peer-review
2 Citations (Scopus) -
Assessing mortality inequality in the U.S. what can be said about the future?
Li, H. & Hyndman, R. J., Jul 2021, In: Insurance: Mathematics and Economics. 99, p. 152-162 11 p.Research output: Contribution to journal › Article › Research › peer-review
1 Citation (Scopus) -
Dimension reduction for outlier detection using DOBIN
Kandanaarachchi, S. & Hyndman, R. J., 2021, In: Journal of Computational and Graphical Statistics. 31, 1, p. 204-219 16 p.Research output: Contribution to journal › Article › Research › peer-review
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Fast forecast reconciliation using linear models
Ashouri, M., Hyndman, R. J. & Shmueli, G., 2021, (Accepted/In press) In: Journal of Computational and Graphical Statistics. 20 p.Research output: Contribution to journal › Article › Research › peer-review
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Forecasting: Principles and Practice
Hyndman, R. & Athanasopoulos, G., 2021, 3rd ed. OTexts.Research output: Book/Report › Textbook