Short Course on Spatial Modelling and Data Analysis - June 2008

Sudipto Banerjee (University of Minnesota) and Alan E. Gelfand (Duke University)

Bayesian methods enable the combining of information from similar and independent experiments and also allow the incorporation of prior information in statistical analysis. This segment of the course introduces software for their practical implementation with special emphasis on spatial modelling.

The following are useful text books for Bayesian statistics, modelling and hierarchical models:

  • Banerjee, S., Carlin, B.P. and Gelfand, A.E. (2004). Hierarchical Modeling and Analysis for Spatial Data. Publisher: CRC/Chapman and Hall.
  • Diggle, P.J. and Ribeiro Jr., P.J. (2007). Model-based Geostatistics. Publisher: Springer.
  • Waller, L. and Gotway, C. (2004). Applied Spatial Statistics for Public Health Data. Publishers: John Wiley and Sons.
  • Carlin, B.P. and Louis, T.A. (2000).Bayes and Empirical Bayes Methods for Data Analysis. Second Edition. Publisher: CRC/Chapman and Hall.
  • Gelman, A., Carlin, J.B., Stern, H.S. and Rubin, D.B. (2004). Bayesian Data Analysis. Second Edition. Publisher: CRC/Chapman and Hall.
  • Dalgaard, P. (2002). Introductory Statistics with R.
  • Faraway, J.J. (2005). Linear Models with R. Publisher: CRC/Chapman and Hall.
  • Lee, P. M. (2004). Bayesian Statistics Publisher: Hodder Arnold
  • Venables, W.N., Smith, D.M. and the R Development Core Team (2002). An Introduction to R: Revised and Updated.

    The web sites for the two softwares we will use:

  • WinBUGS or OpenBUGS
  • You can download the new registration key for WinBUGS from HERE. NOTE THAT YOU DO NOT REQUIRE ANY REGISTRATION KEY FOR OPENBUGS.
  • R

    Tuesday, June 3rd

    9:00am - 10:00am: LECTURE 1

    10:00am - 11:00am: COMPUTING LAB 1

    11:00am - 11:15am: BREAK

    11:15am - 12:15pm: LECTURE 2

    12:15pm - 1:30pm: LUNCH

    1:30pm - 2:15pm: LECTURE 3

    2:15pm - 2:30pm: BREAK

    2:30pm - 4:30pm: COMPUTING LAB 2

    Wednesday, June 4th

    9:00am - 10:15am: LECTURE 4

    10:15am - 10:30am: BREAK

    10:30am - 11:15am: LECTURE 5

    11:15am - 12:15pm: COMPUTER LAB 3

    12:15pm - 1:30pm: LUNCH

    1:30pm - 2:30pm: LECTURE 6

    2:30pm - 2:45pm: BREAK

    2:45pm - 4:30pm: COMPUTER LAB 4