AMS207, Spring 2014, Section 01: Calendar and Notes

Webcasts of these lectures are available from http://webcast.ucsc.edu/

 WEEK  DAY   TOPIC  NOTES
 WEEK 1  Tues.  04/01   Introduction. Description of the syllabus.  
   Thus.  04/03   Background material slides1.pdf
 WEEK 2  Tues.  04/08   Large sample inference
   Chp. 4 

slides2.pdf

   Thus.  04/10   The multinomial and the multivariate normal models.
   3.5,3.6
slides3.pdf
 WEEK 3  Tues.  04/15  Hierarchical models
   5.1-5.6 

slides4.pdf

   Thus.  04/17   Hierarchical models and meta-analysis.
   5.1-5.6

slides5.pdf

paper.pdf

 WEEK 4  Tues.  04/22  Model Checking.
   6.5-6.8
 Quiz 1 (25%)

slides6.pdf

slides7.pdf

   Thus.  04/24   Model comparison.
   7.1-7.6
 
 WEEK 5  Tues.  04/29  Accounting for data collection schemes.
   8.1-8.5
 
   Thus.  05/01  Observational studies. Censoring and truncation.
   8.6-8.8
 
 WEEK 6  Tues.  05/06  Efficient Gibbs and Metropolis samplers.
   12.1-12.3
 
   Thus.  05/08    
 WEEK 7  Tues.  05/13

  Midterm (45%)

 
   Thus.  05/15

 Posterior Modes. EM algorithm.
  13.1-13.4

slide8.pdf
 WEEK 8  Tues.  05/20   Regression models.
   14.1-14.8
slide9.pdf
   Thus.  05/22   Regression models
   14.1-14.8
slide10.pdf
 WEEK 9  Tues.  05/27

  Regression models. G-priors.
   14.1-14.8

 
   Thus.  05/29   Robust Inference.
   17.1-17.5
 
 WEEK 10  Tues.  06/03

  Mixture models.
  22.1-22.5

 
   Thus.  06/05

  Mixture models.
  22.1-22.5
 Quiz 2 (30%)