STT 465 taught by Vellaisamy Palaniappan (Course & Instructor) - Grade Details
(with breakdown by semester)
Course Title: Bayesian Statistical Methods
Course Description: Probability, belief, and exchangeability. Objective, subjective, and empirical Bayes approaches. Applications to one-parameter models, linear regression models, and multivariate normal models. Hierarchical modeling. Computational methods.
This is an interdepartmental course. Equivalent Course: EPI 465
STT 465 / Vellaisamy Palaniappan - All Semesters
Average Grade - 3.260
Median Grade - 3.5
Latest grades from Spring 2021
STT 465 / Vellaisamy Palaniappan - Overview
Semester | Grade Info | Number of Students |
---|---|---|
Fall 2020 | Average Grade - 3.298 Median Grade - 3.5 |
49 |
Spring 2021 | Average Grade - 3.000 Median Grade - 3.0 |
18 |
Back to Overview for STT 465 / Vellaisamy Palaniappan
Spring 2021
Average Grade - 3.000
Median Grade - 3.0
Back to Overview for STT 465 / Vellaisamy Palaniappan
Fall 2020
Average Grade - 3.298
Median Grade - 3.5