Dec 14, 2013

Registration open for IMS-ASC Sydney 2014 meeting

Australian Statistical Conference in Conjunction with the IMS Annual Meeting
July 7–10, 2014
Sydney, Australia
w http://www.ims-asc2014.com/

Registration now open: click here
The early bird registration deadline is February 28. If you are an IMS member you receive a discount on registration rates.

On behalf of the Statistical Society of Australia and the Institute of Mathematical Statistics, the organising committee invite you to attend the joint Australian Statistical Conference & IMS Annual Meeting, to be held 7–10 July, 2014, at the Australian Technology Park in Sydney, Australia.

Delegates from all areas of statistics will join with world class Australian and international statisticians and mathematicians to benefit from the excellent opportunities for presentations on a wide range of topics recognizing 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 areas to network, present and discuss ideas.

Speakers
A high caliber 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, 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

Themes
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.

For more information about the conference, please visit the website

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