Dr. Peter Congdon

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)

Website links:

Dr. Peter Congdon

Courses:
Bayesian Statistics in R
Introduction to Bayesian Computing and Techniques
Introduction to Bayesian Hierarchical and Multi-level Models
Introduction to MCMC and Bayesian Regression via rstan

Instructor at Statistics.com since August 2008

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Sage Products
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Paula Pelletier-Butler
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Dr. Peter Congdon

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