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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
67 total students

Latest grades from Spring 2021

STT 465 / Vellaisamy Palaniappan - Overview

Semester Grade Info
Fall 2020 Average Grade - 3.298
Median Grade - 3.5
Spring 2021 Average Grade - 3.000
Median Grade - 3.0

Back to Overview for STT 465 / Vellaisamy Palaniappan

Spring 2021

Average Grade - 3.000
Median Grade - 3.0
18 total students

Back to Overview for STT 465 / Vellaisamy Palaniappan

Fall 2020

Average Grade - 3.298
Median Grade - 3.5
49 total students


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