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BIAS: Latest news

• ****** Short courses on "Introduction to Bayesian analysis using WinBUGS" and "Bayesian Spatial Analysis of Small Area Data using WinBUGS/GeoBUGS & INLA" will be held at Imperial College London, July 13-16 2010. ******

• The Special Issue of Statistical Methodology on Statistical Methods for Statistics and the Social Sciences, honoring the 10th anniversary of the Center for Statistics and the Social Sciences (CSSS) at the University of Washington, has just been published. The publisher, Elsevier, has now decided to make it freely available online for a limited time. There is also a short video introduction to the issue.

• Dr. Guangquan (Philip) Li has been awarded a Young Academic Award for participation to the CRiSM workshop on Model Uncertainty, May 2010.

• A forthcoming Master class on New Bayesian Methods for Model Comparison (jointly sponsored by the BIAS node and the Lancaster-Warwick-Stirling node), to be held at The Postgraduate Statistics Centre, Department of Maths and Statistics, Lancaster University on 29th March 2010. For more details, please visit the course website.

• Course: Introduction to graphical models and Bayesian networks for social scientists (15-16 October 2009)

• Seminar: Mixing econometrics and epidemiology (9th March, Imperial College, St Mary's Campus) (presentation slides are now available)

• Course on Introduction to Bayesian analysis using WinBUGS (28-30 January, 2009)

• Dr. Jassy Molitor has been awarded the SIE young investigator award at the Joint Statistical Meeting 2008

• Course on Gaussian Markov Random Fields

• New book on Spatial Data Analysis (with R) A member of the BIAS Node is co-authoring a forthcoming book on . The book covers the main aspects of spatial data analysis using the R programming language, which is freely available. It is published by Springer and is due to appear in August 2008. As quoted from the publisher website: "This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information systems, the environmental sciences, ecology, public health and disease control, economics, public administration and political science." More...