- Generalized Linear Models by GermĂĄn RodrĂguez
- StatLect by Marco Taboga
- STAT 414 Introduction to Probability Theory from the Eberly College of Science
- STAT 415 Introduction to Mathematical Statistics from the Eberly College of Science
- Random: Probability, Mathematical Statistics, Stochastic Processes Kyle Siegrist (Uni. of Alabama)
- Introduction to Probability, Statistics and Random Processes by Hossein Pishro-Nik (2014; Kappa Research LLC)
- Probability: Theory and Examples by Rick Durrett (2019)
- Statistics 200: Introduction to Statistical Inference by Zhou Fan (Stanford University, Autumn 2016)
- Stats 202 · Stanford University
- Inference! An interactive introduction
- Notes on Probability* by Greg Lawler [PDF]
- Probability: Theory and Examples by Rick Durrett (2019) (also via Drive)
- STAT 400 by John Millson University of Maryland. See Handouts for Stat 400 and Stat 401
- Regression Modeling Strategies by Frank Harrell
- Probabilstic Graphical Models Notes (CS228)
- Advanced Statistical Computing
- Improving Your Statistical Inferences
Bayesian Statistics & Stochastic Processes
- Scribe Notes from Bayesian Modeling and Inference (Stat260) by Michael I. Jordan
- A First Course in Bayesian Statistical Methods by Peter D. Hoff
- Monte Carlo Methods (Arizona Math 577-002 2016) by Tom Kennedy
- Computational Cognition Cheat Sheets from various authors at Robert Jacobsâ Computational Cognition and Perception Lab
- Bayesian Modeling and Computation in Python by Osvaldo A. Martin, Ravin Kumar, Junpeng Lao
- Applied Stochastic Analysis by Miranda Holmes-Cerfon
Concepts (Bayesian Statistics & Stochastic Processes)
Mixed Effects (or Hierarchical or Multilevel) Models
- An Introduction to Hierarchical Modeling by  Michael Freeman - This visual explanation introduces the statistical concept of Hierarchical Modeling, also known as Mixed Effects Modeling or by these other terms. This is an approach for modeling nested data. Keep reading to learn how to translate an understanding of your data into a hierarchical model specification.
- Thinking About Mixed Models (2016-05-05) by Michael Clark
- Mixed Model Estimation, a Connection to Additive Models, and Beyond⊠(2016-05-07) by Michael Clark
- Repeated Measures and Mixed Models by Michael Clark
- Learning Environment for Multilevel Methods and Applications