7th – 10th July 2014, Sydney
Sheila Bird, Programme Leader within the ESH: Evidence Synthesis to Inform Health research theme at MRC Biostatistics Unit has been invited as a keynote speaker at this year’s Australian Statistical Conference in conjunction with the Institute of Mathematical Statistics Annual Meeting.
Sheila Bird’s talk will be entitled “Biostatistician Behind Bars: By Design And On Trial”.
ASC-IMS 2014 Conference
Delegates from all areas of statistics will join with world class Australian and International statisticians and mathematicians to develop, network and share their knowledge and expertise. In 2014 the Statistical Society of Australia will hold its biennial Australian Statistical Conference in conjunction with the IMS Annual meeting. The Conference will provide opportunities for presentations on a wide range of topics and recognises the role that statistics plays in all aspects of modern life.
The conference objectives are to:
- Attract world class statisticians to share their knowledge and expertise;
- Inform delegates about new work and developments in statistics, probability and mathematical statistics;
- Provide an opportunity for professionals from all of these aforementioned areas to network, present and discuss ideas.
A high calibre contingent of keynote speakers will be brought together at this premier event:
For ASC: James Brown, University of Southampton; Adrian Baddeley, University of Western Australia; Sheila Bird, MRC Biostatistics Unit / Cambridge University; Rob Tibshirani, Stanford University.
For IMS: Thomas G. Kurtz, University of Wisconsin-Madison; Peter Donnelly, University of Oxford; Terry Lyons, University of Oxford; Nina Gantert, Technische Universität München; Martin Hairer, University of Warwick; Timo Seppäläinen, University of Wisconsin–Madison; Matthew Stephens, University of Chicago; Harrison Zhou, Yale University.
Topics of interest cover all aspects of the use of and development of statistical methods. The conference will also feature a wide-ranging program incorporating the following themes: Bayesian Statistics, Bioinformatics, Biostatistics, Computational and Asymptotic Statistics, Causal inference, Dirichlet form theory, Econometrics, Environmental Statistics, Experimental designs, Filtering theory, Finance and Physics, Financial Statistics, Forecasting, Functional data analysis, Genomics, Graphical models and networks, Gaussian processes, High-dimensional statistics, Heavy tail phenomenon, Infinite dimensional analysis, Large-scale inferences, Large deviations, Limit theory, Levy processes, Long range dependence, Malliavin calculus, Mathematical statistics, Markov processes, Measure-valued processes, Multivariate statistics, Nonparametric statistics, Non local operators, Official statistics methodologies, Particle systems, Percolation probability on trees and graphs, Probability, Random matrices, Random surfaces, Robust statistics, Sample surveys methodology, SLE Stochastic Analysis, Spatial statistics, Stochastic differential equations, Stochastic optimization, Stochastic models in biology, Stochastic networks, Stochastic processes, Stochastic/statistical modeling, Statistical computing, Statistical learning, Time series. (Conference information taken from the ASC-IMS 2014 website)
For more information about the conference please visit http://ims-asc2014.com/