The National Institute for Applied Statistics Research Australia (NIASRA) at the University of Wollongong will be hosting StatsWeek 2014 from 3 to 7 February on the Wollongong Campus.
As part of StatsWeek there will be a short course presented by Peter J. Diggle (Lancaster U.) and Noel A. Cressie (NIASRA, UOW) on
Monday and Tuesday (am) 3 – 4 February 2014
University of Wollongong Campus
In pursuit of the “why” question, science often comes across the “where” and “when” questions. Good data collection involves a protocol that specifies where (i.e., spatial locations) and when (i.e., temporal instants) the measurements were taken. This course offers an intermediate-level introduction to spatio-temporal statistical modelling.
This 1.5-day course considers a systematic approach to key quantitative techniques for the analysis of spatio-temporal data, with a particular emphasis on hierarchical (empirical and Bayesian) statistical modelling. Illustrative real-world examples will be presented throughout the course. Topics include:
- Exploratory analysis: point process, geostatistical, and lattice data
- Empirical/mechanistic models for point process data; case studies
- Dynamical/descriptive models for geostatistical and lattice data; hierarchical statistical models; predictive inference; case studies
- Combining point process, geostatistical, and lattice data: Towards a synthesis
Participants will receive a printed copy of the slides used in the presentations. No text is required but references and examples will be drawn from Peter J. Diggle, Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, 3rd edn. (CRC Press, 2014) and from Noel Cressie and Christopher K. Wikle, Statistics for Spatio-Temporal Data (Wiley, 2011). There will be no computer-lab sessions but software sources will be given.
This course is aimed at researchers and students with Bachelor’s-level probability and statistical inference, and a good understanding of matrix algebra is assumed.
This workshop is being presented with the support of the Statistical Society of Australia Inc. and the Commonwealth Scientific and Industrial Research Organisation.
Peter Diggle is currently a distinguished university professor in the Lancaster University Medical School and a professor in the Department of Epidemiology and Population Health, University of Liverpool. He also holds adjunct positions at Yale, Johns Hopkins, and Columbia Universities. His main methodological interests are in spatial statistics, longitudinal data analysis, and environmental epidemiology, motivated by applications in the biomedical, clinical, and health sciences. He has authored several books on spatial statistics, longitudinal data analysis, and other topics. Peter has received the Royal Statistical Society’s Guy Medal in Silver and is President-Elect of the Society.
Noel Cressie is a Distinguished Professor in the National Institute for Applied Statistics Research Australia and School of Mathematics and Applied Statistics at the University of Wollongong. He has visiting positions at NASA’s Jet Propulsion Laboratory and the Department of Statistics, University of Missouri. His interests are in the statistical modelling and analysis of spatio-temporal data particularly in applications to environmental data. He is the author of three books including Statistics for Spatio-Temporal Data by Noel Cressie and Christopher K. Wikle (Wiley, 2011). Noel is a Fellow of the American Statistical Association and of the Institute of Mathematical Statistics. Among other awards, in 2009 he received the COPSS Fisher Award and Lectureship.
Places are strictly limited and registrations will be processed as they are received.
Morning and afternoon coffee/tea and a sandwich lunch on both days are included in the course fee.
University of Wollongong, Building 11
Monday 3 Feb – Registration 9-10am; course from 10:15am to 5:00pm
Tuesday 4 Feb – Course from 9:00am to 12:30pm
|When:||03/02/2014 - 04/02/2014|
|Cost:||$700, $600 for SSAI members, $400 for students|
|Location:||University of Wollongong,