3-Day Summer School

Date: May 20-22, 2011

The summer workshop is a three day intensive workshop on Spatial Statistics for Non-Gaussian Data taught by Patrick Brown from Cancer Care Ontario and Virgilio Gomez-Rubio from the University of Castilla-La Mancha, Spain.

The material will cover advanced topics including: The Generalized Linear Geostatistical Model; Spatial models for disease mapping; Bayesian inference using Integrated Nested Laplace Approximation; Markov random field approximations to geostatistical processes; and methods for spatio-temporal data. The instruction will be evenly divided between lectures and supervised computer labs.

The material will be suitable for students with the equivalent of one year of graduate statistics courses, with knowledge of Bayesian inference, time series or random effects models, and familiarity with R.

Background material can be found in a number of books on R programming, Bayesian inference, and longitudinal, hierarchical, or time series models, including:

- A first course in statistical programming with R
Spatial Analysis
- Spatial Data Analysis with R
Time series
- Introductory Time Series with R
Bayesian inference
- Introduction to Bayesian Statistics
- Introduction to Bayesian Statistics
- Bayesian Ideas and Data Analysis

- Summer School Schedule