Reading material

WEEK 1

  • Gelman et al. Chapter 1 and Sections 2.1-2.4
  • Hoff: Chapter 1 and Chapter 3
  • Robert: Sections 1.2, 1.4, and 3.3.

WEEK 2

  • Hoff: Chapter 3
  • Robert: Section 2.3, 2.5
  • Berger: Chapter 1 and sections 2.1 and 2.2
  • Bernardo and Smith: Section 5.2. The full reference is Bernardo J.M. and Smith A.F.M. Bayesian Theory 1994 Wiley Series in Prob and Stats

WEEK 3

  • Robert: Section 2.4.4 and 2.5
  • Berger: Sections 3.1 and 3.2
  • Bernardo and Smith: Sections 4.2 and 4.3
  • Hoff: Sections 2.7 and 2.8

WEEK 4

  • Robert: Section 3.5 
  • Berger: Section 3.3 

SUPPLEMENTARY READING WEEKS 1-4: See papers attached

 

WEEKS 5 and 6

  • Hoff: Chapters 4 and 10
  • Robert: Chapter 6

WEEKS 7 AND 8

  • Hoff: Chapter 6 and 10
  • Robert: Chapter 6
  • Berger: Chapter 4.3.3
  • Please go to http://cbms-mum.soe.ucsc.edu/Material.html and download Lecture 1: Reproducibility of Science: Impact of Bayesian testing and multiplicity as well as the video available at https://www.youtube.com/watch?v=FlcPTP-X_Ow. This lecture was given by Prof. Jim Berger at the CBMS Regional Conference in Mathematical Sciences on Model Uncertainty and Multiplicities. The video has some technical issues during the first 7-8 mins, but should be OK after that. It also covers more material than that presented in Lecture 1, but you only need to cover Lecture 1. Please watch the video and the slides and write a summary (max 2 pages) of the video/slides and share your impressions. The summary is due on March 1st.