June, 15-18, 2009
|Last update: 11/6/2009|
The Applied Bayesian Statistics summer school has been organised since 2004 byThe school aims to present state-of-the-art Bayesian applications, inviting leading experts in their field. Each year a different topic is chosen. Past editions were devoted to Gene Expression Genomics, Decision Modelling in Health Care, Spatial Data in Environmental and Health Sciences, Bayesian Methods and Econometrics and Bayesian Decision Problems in Biostatistics and Clinical Trials.
The topic chosen for the 2009 school is
Bayesian Methodology for Clustering, Classification and Categorical Data
The lecturer will be Dipak K. Dey, Department of Statistics, University of Connecticut, Storrs, CT, USA
He will be assisted by Luca La Rocca (University of Modena and Reggio, Italy).
The purpose of this introductory short course is to present Bayesian methodology to provide an overview of current ideas in clustering, classification methods and categorical data analysis appropriate for various types of multivariate data. Special emphasis will be given to inferential methods with applications to problems arising in biostatistical and business problems. Participants in the course will be exposed to the relevant Bayesian methodology and computational techniques, including prior elicitation, hierarchical Bayesian methods, model comparisons, and Markov chain Monte Carlo methods. Discussion will center on various types of models, including soft clustering, longitudinal and clustered data, spatio temporal, and various types of link functions for categorical data. The methods and ideas will be applied to some case studies, which will include data from bank transactions, clinical trials and forestry. All the techniques will be illustrated with real data and, where possible, instructions on coding the techniques in Winbugs and R will be provided.
The school will make use of lectures, practical sessions, software demonstrations, informal discussion sessions and presentations of research projects by school participants.
The copy of the slides along with some papers will be available to all the students before the start of the course.
The prerequisite for this course will include basic knowledge of Statistical Inference and Data Analysis. This course will be beneficial to graduate students, post-docs and researchers both from academia and industry whose area of activity is Statistics, Mathematics, Actuarial Science, Computer Science, Biostatistics and Genomics, Epidemiology, Engineering. Some knowledge of Bayesian Statistics is desirable. Prospective students may refer to the book Bayesian data analysis, 2nd Ed. by Andrew Gelman, John B. Carlin, Hal S. Stern and Donald B. Rubin (Chapman & Hall/CRC Texts in Statistical Science Series, 2004) and the book Bayesian Models for Categorical Data by Peter Congdon (Wiley Series in Probability and Statistics, 2005).
The 2009 school will be held at Accademia Cusano, located in the city of Bressanone (Brixen in German), in the Italian Alps, close to the Austrian border.
In June 18-20, in the same place, there will be
BISP6, Sixth Workshop on Bayesian Inference in Stochastic Processes.
Please note that the number of available places is limited.
The school will start on Monday, June, 15th, at 9.00 and it will end on Thursday, June, 18th, at 13.00. Welcome cocktail and farewell dinner are planned on June, 15th and 17th, respectively.
The registration fees are: