Section Info: STAT-351-01

Course Title: Bayesian Statistics
Start Date: 09/04/2024 End Date: 12/17/2024
Term: Fall Semester 2024
Description: Bayesian statistics refers to a statistical paradigm that has its roots in Bayes' theorem, where prior belief and data can be combined to update our understanding of a particular problem in what is known as the posterior. In this class, you can expect to combine your knowledge of probability and statistics to develop and apply Bayesian thinking to statistical modeling. Possible topics include conjugate families, posterior simulation, regression and classification, and hierarchical modeling. R statistical software will be used.
Distribution(s): II - Math & Sciences
Academic Level Of Course: Undergraduate     Credits:4.00    

Faculty         Phone         Email address        
Ben Pittman-Polletta             benpolletta@mtholyoke.edu  

Meeting Dates         Method         Meeting days         Meeting times         Building name         Room     Frequency    
09/04/2024 - 12/17/2024   Lecture   Monday, Wednesday and Friday   08:30AM - 09:45AM   CLAP - Clapp Laboratory   206   Weekly

REGISTRATION DETAILS

Requisite Courses        
Prereq: MATH-342 and STAT-242. Take previously   Required  

Comments        
Additional Comments        
Course Tags        
DATA0003   DATA-SE: Data Science Elective Course   This course is an elective option for the Data Science major.  

Cross-listed Sections        
None  

Course Availability
Section status: Open     Capacity: 18     Enrollment: 7     Available: 11     Waitlist: 0

BOOK INFORMATION

Book List         Required         Publisher Full Price        
Title: Bayes Rules! An Introduction to Applied Bayesian Modeling
Author: Johnson, Alicia A.
Copyright: 2022
Edition: 1
Volume:
ISBN: 9780367255398
Publisher: Chapman & Hall/CRC Press, Taylor & Francis Group
Optional   82.99  
Title: Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan
Author: Kruschke, John K.
Copyright: 2015
Edition: 2
Volume:
ISBN: 9780123814852
Publisher: Academic Press
Optional   160.94  
Title: A First Course in Bayesian Statistical Methods
Author: Hoff, Peter D.
Copyright: 2009
Edition: 2
Volume:
ISBN:
Publisher: Springer Nature
Optional   54.99  
Title: Bayesian Models of Perception and Action: An Introduction
Author: Ma, Wei Ji
Copyright: 2023
Edition: 1
Volume:
ISBN: 9780262047593
Publisher: MIT Press
Optional   65.00  
Title: Bayesian Signal Processing: Classical, Modern, and Particle Filtering Metho
Author: Candy, James V.
Copyright: 2016
Edition: 2
Volume:
ISBN: 9781119125457
Publisher: Wiley-IEEE Press
Optional   122.00  

Additional Book Comments        
This is the complete book list for this class.