Dr. Peter Congdon
is a Research Professor in Quantitative Geography and Health Statistics at Queen Mary University of London. He is the author of several books and numerous articles in peer-reviewed journals. His research interests include spatial data analysis, Bayesian statistics, latent variable models and epidemiology.
Education:
BSc Statistics, London School of Economics
MSc Social Statistics, London School of Economics
PhD Stochastic Models of Occupational and Social Mobility
London School of Economics
Areas of Expertise:
Spatial Data Analysis
Bayesian Statistics
Statistical Modeling
Latent Variable Models
Spatial Epidemiology
Population Health
Publications:
Applied Bayesian Hierarchical Methods (CRC Press/Chapman & Hall, 2010)
Bayesian Statistical Modeling (Wiley, 2006)
Bayesian Models for Categorical Data (Wiley, 2005)
Websites links:
Dr. Peter Congdon
Courses:
An Introduction to Bayesian Hierarchical and Multi-level Models
Bayesian Regression Modeling via MCMC Techniques
Introduction to Bayesian Computing and Techniques