FW 8051: Slide Presentations
Welcome! This site contains all of our course presentation slides. I have been working to make the slides more accessible by:
- Reformatting them from Markdown/Beamer/latex/pdf to quarto/revealJS
- Adding alt-text
- Using themes that have better contrast
Although I have made a lot of progress, there are still some things I have yet to figure out. If you come across any issues, please let me know (especially if you are aware of solutions)!
Note: You can create a pdf version of the slides by:
- Clicking on the 3 horizontal lines in the lower left corner of the slides.
- Clicking the “Tools” icon at the top of the page when it appears.
- Click on “PDF Export Mode”.
If you then right click your mouse and select “Print”, you can save the file as a PDF. You can even choose to save the file with 4 pages to a sheet (e.g., if you want to print out the slide deck and take notes).
Overview, Running Recap and Looking Forward
Models for Normally Distributed Responses
- Ch 1: Linear regression and frequentist statistics review
- Ch 1: Confidence and prediction intervals
- Ch 2: Bootstrap confidence intervals
- CH 3: Multiple regression
- Ch 3: Visualizing models
- Ch 4: Modeling non-linear relationships
- Ch 5: Modeling non-constant variance: Generalized least squares
What Variables to Include in a Model
Frequentist and Bayesian Inferential Frameworks
- Ch 9: Introduction to probability rules
- Ch 9: Probability distributions and regression
- Ch 10: Maximum likelihood
- Ch 10: Delta Method
- Ch 11: Introduction to Bayesian statistics
- Ch 12: A Brief introduction to MCMC sampling and JAGS
- Ch 13: Bayesian linear regression
Models for Non-Normal Data
- Ch 14: Introduction to generalized linear models (GLMs)
- Ch 15: Regression models for count data
- Ch 16: Logistic regression
- Ch 17: Models for zero-inflated data