Ruobin Gong

Ruobin Gong

Associate Professor of Statistics, Rutgers University

Introduction to Bayesian Data Analysis

Undergraduate course, Rutgers University (01:960:365), semester(s) offered: 2022f, 2023f

Overview

Students successfully completing this course should be able to:

  • Explain the Bayesian framework for data analysis;
  • Develop, describe, and implement both single parameter and hierarchical models in the Bayesian framework;
  • Demonstrate high level interpretation of the results of a Bayesian analysis;
  • Perform Bayesian computation using Markov chain Monte Carlo methods using R and other software tools.

Textbook

  • Johnson, A. A., Ott, M. Q., & Dogucu, M. (2022). Bayes Rules!: An Introduction to Applied Bayesian Modeling. CRC Press.