STT 465 (Course) - Grade Details
(with breakdown by instructor)
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 - All Instructors
Average Grade - 3.095
Median Grade - 3.5
Latest grades from Fall 2023
STT 465 - Overview
| Instructor | Grade Info | Number of Students | Latest Grade Data | Breakdown |
|---|---|---|---|---|
| Gustavo de los Campos | Average Grade - 3.073 Median Grade - 3.5 |
55 | Fall 2018 | |
| Leonard Chukuma Johnson | Average Grade - 2.924 Median Grade - 3.0 |
105 | Fall 2022 | |
| Vellaisamy Palaniappan | Average Grade - 3.260 Median Grade - 3.5 |
67 | Spring 2021 | |
| Haolei Weng | Average Grade - 3.483 Median Grade - 4.0 |
30 | Fall 2023 |
Gustavo de los Campos
Average Grade - 3.073
Median Grade - 3.5
Latest grades from Fall 2018
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Haolei Weng
Average Grade - 3.483
Median Grade - 4.0
Latest grades from Fall 2023
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Leonard Chukuma Johnson
Average Grade - 2.924
Median Grade - 3.0
Latest grades from Fall 2022
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Vellaisamy Palaniappan
Average Grade - 3.260
Median Grade - 3.5
Latest grades from Spring 2021
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