├── Probability and Statistics for Data Science and AI ├── 00 - Introduction to the course.pdf ├── 01 - Set Theory and Probability.pdf ├── 02 - Discrete Random Variables.pdf ├── 03 - Continuous Random Variables.pdf ├── 04 - Joint Distributions.pdf ├── 05- Conditional Distributions.pdf ├── 06 - Estimation - MLE and properties.pdf ├── 07 - Estimation - Maximum a posterior estimates - intro.pdf ├── 08 - Confidence Intervals .pdf ├── 09 - Making Statistical Decisions - Bases of Hypothesis Testing.pdf ├── 10 - Intro to Regression Analysis - and Basics of Lasso and Ridge regression.pdf ├── 11 - Intro to Logistic Regression.pdf └── Readme.md ├── README.md ├── Statistical Methods for Correlated Data ├── 01_Introduction to the analysis of correlated data.pdf ├── 02_Intro to linear mixed effects models.pdf ├── 03_Likelihood Inference for LMEs.pdf ├── 04_Inference for Variance Components in LMEs.pdf ├── 05_Inference for Random Effects in LMEs.pdf ├── 06_Marginal Inference via GEEs.pdf ├── 07_Diagnostics.pdf ├── 08_General Regression Models.pdf ├── 09_Likelihood inference for Generalized Linear Mixed Models.pdf ├── 10_GEEs for General Regression.pdf ├── 11_Handling Missing Data.pdf └── Readme.md └── Talks ├── Guindani_OCBiosymposium_2025.pdf └── readme /Probability and Statistics for Data Science and AI/00 - Introduction to the course.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Probability and Statistics for Data Science and AI/00 - Introduction to the course.pdf -------------------------------------------------------------------------------- /Probability and Statistics for Data Science and AI/01 - Set Theory and Probability.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Probability and Statistics for Data Science and AI/01 - Set Theory and Probability.pdf -------------------------------------------------------------------------------- /Probability and Statistics for Data Science and AI/02 - Discrete Random Variables.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Probability and Statistics for Data Science and AI/02 - Discrete Random Variables.pdf -------------------------------------------------------------------------------- /Probability and Statistics for Data Science and AI/03 - Continuous Random Variables.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Probability and Statistics for Data Science and AI/03 - Continuous Random Variables.pdf -------------------------------------------------------------------------------- /Probability and Statistics for Data Science and AI/04 - Joint Distributions.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Probability and Statistics for Data Science and AI/04 - Joint Distributions.pdf -------------------------------------------------------------------------------- /Probability and Statistics for Data Science and AI/05- Conditional Distributions.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Probability and Statistics for Data Science and AI/05- Conditional Distributions.pdf -------------------------------------------------------------------------------- /Probability and Statistics for Data Science and AI/06 - Estimation - MLE and properties.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Probability and Statistics for Data Science and AI/06 - Estimation - MLE and properties.pdf -------------------------------------------------------------------------------- /Probability and Statistics for Data Science and AI/07 - Estimation - Maximum a posterior estimates - intro.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Probability and Statistics for Data Science and AI/07 - Estimation - Maximum a posterior estimates - intro.pdf -------------------------------------------------------------------------------- /Probability and Statistics for Data Science and AI/08 - Confidence Intervals .pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Probability and Statistics for Data Science and AI/08 - Confidence Intervals .pdf -------------------------------------------------------------------------------- /Probability and Statistics for Data Science and AI/09 - Making Statistical Decisions - Bases of Hypothesis Testing.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Probability and Statistics for Data Science and AI/09 - Making Statistical Decisions - Bases of Hypothesis Testing.pdf -------------------------------------------------------------------------------- /Probability and Statistics for Data Science and AI/10 - Intro to Regression Analysis - and Basics of Lasso and Ridge regression.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Probability and Statistics for Data Science and AI/10 - Intro to Regression Analysis - and Basics of Lasso and Ridge regression.pdf -------------------------------------------------------------------------------- /Probability and Statistics for Data Science and AI/11 - Intro to Logistic Regression.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Probability and Statistics for Data Science and AI/11 - Intro to Logistic Regression.pdf -------------------------------------------------------------------------------- /Probability and Statistics for Data Science and AI/Readme.md: -------------------------------------------------------------------------------- 1 | This set of slides has been created for a short course I taught in the Summer 2022. 2 | 3 | As usual, the slides for a course like this owe a lot to many others, whose work may have been re-arranged according to the needs of the class and the creative view of the author. 4 | 5 | The main textbook for the course was **Introduction to Probability for Data Science** by Stanley Chan 6 | 7 | The textbook has a great companion website: 8 | 9 | https://probability4datascience.com/ 10 | 11 | which also contains code and slides (some I used for the class). 12 | 13 | --------- 14 | The author of these slides strongly advocates for the acceptance of individuals from all walks of life. When readers access these slides, which incorporate the author's creative endeavors, they implicitly adhere to similar values of acceptance and support for diversity in all its forms, including (but not limited to) the LGBTQ+ community. 15 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Lectures 2 | This repository contains slides from some of the classes I have taught in my career. Most of the material is borrowed from books on the subject. However, any typo or mistake are likely mine! 3 | 4 | The repository will be updated from time to time. If you are interested in the .tex files and other material (e.g., lab material) for your own course preparation, feel free to reach out directly to me. 5 | 6 | 7 | --------- 8 | The author of these slides strongly advocates for the acceptance of individuals from all walks of life. When readers access these slides, which incorporate the author's creative endeavors, they implicitly adhere to similar values of acceptance and support for diversity in all its forms, including (but not limited to) the LGBTQ+ community. 9 | -------------------------------------------------------------------------------- /Statistical Methods for Correlated Data/01_Introduction to the analysis of correlated data.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Statistical Methods for Correlated Data/01_Introduction to the analysis of correlated data.pdf -------------------------------------------------------------------------------- /Statistical Methods for Correlated Data/02_Intro to linear mixed effects models.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Statistical Methods for Correlated Data/02_Intro to linear mixed effects models.pdf -------------------------------------------------------------------------------- /Statistical Methods for Correlated Data/03_Likelihood Inference for LMEs.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Statistical Methods for Correlated Data/03_Likelihood Inference for LMEs.pdf -------------------------------------------------------------------------------- /Statistical Methods for Correlated Data/04_Inference for Variance Components in LMEs.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Statistical Methods for Correlated Data/04_Inference for Variance Components in LMEs.pdf -------------------------------------------------------------------------------- /Statistical Methods for Correlated Data/05_Inference for Random Effects in LMEs.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Statistical Methods for Correlated Data/05_Inference for Random Effects in LMEs.pdf -------------------------------------------------------------------------------- /Statistical Methods for Correlated Data/06_Marginal Inference via GEEs.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Statistical Methods for Correlated Data/06_Marginal Inference via GEEs.pdf -------------------------------------------------------------------------------- /Statistical Methods for Correlated Data/07_Diagnostics.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Statistical Methods for Correlated Data/07_Diagnostics.pdf -------------------------------------------------------------------------------- /Statistical Methods for Correlated Data/08_General Regression Models.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Statistical Methods for Correlated Data/08_General Regression Models.pdf -------------------------------------------------------------------------------- /Statistical Methods for Correlated Data/09_Likelihood inference for Generalized Linear Mixed Models.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Statistical Methods for Correlated Data/09_Likelihood inference for Generalized Linear Mixed Models.pdf -------------------------------------------------------------------------------- /Statistical Methods for Correlated Data/10_GEEs for General Regression.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Statistical Methods for Correlated Data/10_GEEs for General Regression.pdf -------------------------------------------------------------------------------- /Statistical Methods for Correlated Data/11_Handling Missing Data.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Statistical Methods for Correlated Data/11_Handling Missing Data.pdf -------------------------------------------------------------------------------- /Statistical Methods for Correlated Data/Readme.md: -------------------------------------------------------------------------------- 1 | The folder contains slides from a 10-weeks course I taught at UCI last in the Spring 2022. 2 | 3 | They provide an introduction to statistical methods for analyzing correlated data. 4 | 5 | Topics include linear mixed models, non-linear mixed effects models, and generalized estimating equations. 6 | 7 | --------- 8 | The author of these slides strongly advocates for the acceptance of individuals from all walks of life. When readers access these slides, which incorporate the author's creative endeavors, they implicitly adhere to similar values of acceptance and support for diversity in all its forms, including (but not limited to) the LGBTQ+ community. 9 | -------------------------------------------------------------------------------- /Talks/Guindani_OCBiosymposium_2025.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mguindani/Lectures/e79283326b961b54ee635056b3d18213d0c87512/Talks/Guindani_OCBiosymposium_2025.pdf -------------------------------------------------------------------------------- /Talks/readme: -------------------------------------------------------------------------------- 1 | This folder contains presentation at conferences and institutions 2 | --------------------------------------------------------------------------------