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Bayesian Statistics
Bayesian Statistics
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  • Schedule
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Overview
  • Readings, lectures, and videos
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 12 - Gaussian processes

Zoom

: 12:00pm - 2:45pm, April 11, 2022

Chapter 14: Adventures in Covariance

Lecture

Lecture 15


Link to pdf


Lecture 16



Link to pdf

Deliverables

Due before class: Monday, April 4 at 11:59am

Class Feedback

Lesson Quiz

Labs

  • Alex Andorra’s How popular is the President? / Colab / Binder

  • Michael Betancourt’s Robust Gaussian Process Modeling (Advanced)

Previous
Class 11 - Multilevel
Next
Class 13 - Exam

Last updated on Apr 11, 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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