You will be following the course materials from the special topics course STAT489: Bayesian Methods of Data Analysis, taught in Spring 2017. Readings are from the linked lecture notes; from Gelman et al, Bayesian Data Analysis, Third Edition (CRC, 2013), ISBN 9781439840955; from McElreath, Statistical Rethinking: A Bayesian Course with Examples in R and Stan, First Edition (CRC, 2017), ISBN 9781482253443; and from other indicated texts available as ebooks through the Wallace Library.
Tuesday  Þursday  

Tuesday  Þursday  
Wk01 
Jan 18 (Fri)
Part One: Bayesian Parameter Estimation
Read secs 12.2 of notes_parameters.pdf; 

Wk02 
Jan 22
Part One: Bayesian Parameter Estimation Problem Set 1 due 
Jan 24
Part One: Bayesian Parameter Estimation
Read secs 2.32.7 of notes_parameters.pdf; 
Wk03 
Jan 29
Part One: Bayesian Parameter Estimation Problem Set 2 due 
Jan 31
Part One: Bayesian Parameter Estimation
Read secs 2.83.2 of notes_parameters.pdf; 
Wk04 
Feb 5
Part One: Bayesian Parameter Estimation Problem Set 3 due 
Feb 7
Part One: Bayesian Parameter Estimation
Read secs 3.33.4 of notes_parameters.pdf; 
Wk05 
Feb 12
Part One: Bayesian Parameter Estimation Problem Set 4 due 
Feb 14
Review for Prelim Exam 1 
Wk06 
Feb 19
FIRST PRELIM EXAM due 
Feb 21
Part Two: Bayesian Model Selection
Read secs 12 of notes_models.pdf; 
Wk07 
Feb 26
Part Two: Bayesian Model Selection Problem Set 5 due 
Feb 28
Part Two: Bayesian Model Selection Read secs 34 of notes_models.pdf 
Wk08 
Mar 5
Part Two: Bayesian Model Selection Problem Set 6 due 
Mar 7
Part Three: Computational Methods
Read secs 12.1 of notes_comp.pdf; 
Mar 12
No Class (Spring Break) 
Mar 14
No Class (Spring Break) 

Wk09 
Mar 19
Part Three: Computational Methods Problem Set 7 due 
Mar 21
Part Three: Computational Methods
Read secs 2.22.4 of notes_comp.pdf; 
Wk10 
Mar 26
Part Three: Computational Methods Problem Set 8 due 
Mar 28
Review for Prelim Exam 2 
Wk11 
Apr 2
SECOND PRELIM EXAM due 
Apr 4
Part Three: Computational Methods
Read sec 3 of notes_comp.pdf; 
Wk12 
Apr 9
Part Three: Computational Methods Problem Set 9 due 
Apr 11
Part Four: Generalized Linear Models
Read sec 1 of notes_genlin.pdf; 
Wk13 
Apr 16
Part Four: Generalized Linear Models Problem Set 10 due 
Apr 18
Part Four: Generalized Linear Models
Read sec 2 of notes_genlin.pdf; 
Wk14 
Apr 23
Part Four: Generalized Linear Models Logistic Regression Problem Set 11 due 
Apr 25
Project presentations 
Last Modified: 2019 January 17
Dr. John T. Whelan / john.whelan@astro.rit.edu / Professor, School of Mathematical Sciences & Center for Computational Relativity and Gravitation, Rochester Institute of TechnologyThe contents of this communication are the sole responsibility of Prof. John T. Whelan and do not necessarily represent the opinions or policies of RIT, SMS, or CCRG.