Course Calendar
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You will be following the course materials from the special topics course STAT-489: 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 978-1-4398-4095-5; from McElreath, Statistical Rethinking: A Bayesian Course with Examples in R and Stan, First Edition (CRC, 2017), ISBN 978-1-4822-5344-3; 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 1-2.2 of notes_parameters.pdf; refer to chapter 1 of Gelman
Wk02	Jan 22 Part One: Bayesian Parameter Estimation Problem Set 1 due	Jan 24 Part One: Bayesian Parameter Estimation Read secs 2.3-2.7 of notes_parameters.pdf; refer to chapter 2 of Gelman
Wk03	Jan 29 Part One: Bayesian Parameter Estimation Problem Set 2 due	Jan 31 Part One: Bayesian Parameter Estimation Read secs 2.8-3.2 of notes_parameters.pdf; refer to chapter 3 of McElreath & chapter 3 of Gelman
Wk04	Feb 5 Part One: Bayesian Parameter Estimation Problem Set 3 due	Feb 7 Part One: Bayesian Parameter Estimation Read secs 3.3-3.4 of notes_parameters.pdf; refer to chapter 3 of Gelman
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 1-2 of notes_models.pdf; refer to chapter 4 of Jaynes, chapter 4 of Sivia & chapters 6-7 of Gelman
Wk07	Feb 26 Part Two: Bayesian Model Selection Problem Set 5 due	Feb 28 Part Two: Bayesian Model Selection Read secs 3-4 of notes_models.pdf
Wk08	Mar 5 Part Two: Bayesian Model Selection Problem Set 6 due	Mar 7 Part Three: Computational Methods Read secs 1-2.1 of notes_comp.pdf; Refer to chapters 10-11 of Gelman, chapter 8 of McElreath & chapter 7 of Kruschke
	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 2.2-2.4 of notes_comp.pdf; Refer to chapter 8 of Kruschke
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; Refer to chapter 5 of Sivia, chapter 8 of McElreath, chapter 12 & appendix C of Gelman & chapter 14 of Kruschke
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; Refer to chapter 14 of Gelman, chapter 5 of McElreath & chapter 15 of Kruschke
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; Refer to chapter 6, 9-10 of McElreath & chapter 16 of Gelman
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 Technology

The 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.

JTW > Courses > STAT 498: Independent Study: Bayesian Methods of Data Analysis > Course Calendar [Sitemap]

JTW > Courses > STAT 498: Independent Study: Bayesian Methods of Data Analysis > Course Calendar
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