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Bayesian Statistics
Bayesian Statistics
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Course content
  • Class 1 - Course Intro
  • Class 2 - Bayesian Inference
  • Class 3 - Basic Regression
  • Class 4 - Not-so-Basic Regression
  • Class 5 - Class presentations
  • Class 6 - Spurious correlations
  • Class 7 - Model Comparison
  • Class 8 - GLM's
  • Class 9 - Count GLM's
  • Class 10 - Guest Lecture
  • Class 11 - Multilevel
  • Class 12 - Gaussian processes
  • Class 13 - Exam
  • Class 14 - Measurement Error & Missing Data
  • Class 15 - Beyond GLMs

Class 5 - Class presentations

Zoom

: 12:00pm - 2:45pm, February 14, 2022

Individual presentations on Bayesian applications.

Students will present one published article or blog post of applications on Bayesian statistics.

  • Project Check in 1 Link Details
  • Due before class: Feb 14, 2022 at 11:59am
  • Turn in at the Canvas Link
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Class 4 - Not-so-Basic Regression
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Class 6 - Spurious correlations

Last updated on Feb 14, 2022

DSBA 6010 | STAT 7027: Bayesian Statistics (Spring 2022)
UNC Charlotte   School of Data Science   Dept. of Mathematics and Statistics

Dr. Ryan Wesslen   rwesslen@uncc.edu

Monday   12:00pm-2:45pm   Center City 1101

All content licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Content 2022 Ryan Wesslen

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View the source at GitHub.

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