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awesome-bayesian-statistics
A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
https://github.com/aayushmalik/awesome-bayesian-statistics
Last synced: 1 day ago
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Books
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- Bayesian Statistics for Beginners: A Step-by-Step Approach, Therese M. Donovan (2019)
- Doing Bayesian Data Analysis: A Tutorial Introduction with R, John Kruschke (2010)
- Introduction to Bayesian Statistics, William M. Bolstad (2004)
- Bayesian Data Analysis, Donald Rubin (1995)
- Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks, Will Kurt (2019)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- Think Bayes: Bayesian Statistics in Python, Allen B. Downey (2012)
- A Student's Guide to Bayesian Statistics, Ben Lambert (2018)
- Bayesian Analysis with Python: Introduction to Statistical Modelling and Probabilistic Programming using PyMC3 and ArviZ, Osvaldo Martin (2016)
- Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference, Cameron Davidson-Pilon (2015)
- The Bayesian Way: Introduction Statistics for Economists and Engineers, Svein Olav Nyberg (2018)
- Bayesian Biostatistics, Emmanuel Lesaffre (2012)
- Bayes Theorem: A Visual Introduction for Beginners, Dan Morris (2017)
- Bayesian Econometrics, Gary Koop (2003)
- Regression Modelling with Spatial and Spatial-Temporal Data: A Bayesian Approach, Robert P. Haining (2019)
- Bayesian Reasoning and Machine Learning, David Barber (2012)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- Bayesian Inference for Stochastic Processes, Lyle D. Broemeling (2017)
- Bayesian Statistics for Experimental Scientists: A General Introduction Using Distribution-Free Methods, Richard A. Chechile (2020)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- An Introduction to Bayesian Inference, Methods and Computation, Nick Heard (2021)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
- A First Course in Bayesian Statistical Methods, Peter D Hoff (2009)
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Research Papers
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- Primer on the Use of Bayesian Methods in Health Economics
- Experimental Design: Bayesian Designs
- A simple introduction to Markov Chain Monte-Carlo sampling
- Markov Chain Monte Carlo: an introduction for epidemiologists
- Monte Carlo simulation of climate systems
- What Are Hierarchical Models and How Do We Analyze Them?
- A Conceptual Introduction to Markov Chain Monte Carlo Methods
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A survey of Monte Carlo methods for parameter estimation
- Uncertain Neighbors: Bayesian Propensity Score Matching For Causal Inference
- Bayesian Matching for Causal Inference
- A Bayesian Approach for Estimating Causal Effects from Observational Data
- Is Microfinance Truly Useless for Poverty Reduction and Women Empowerment? A Bayesian Spatial-Propensity Score Matching Evaluation in Bolivia
- Bayesian regression tree models for causal inference: regularization, confounding, and heterogeneous effects
- State-of-the-BART: Simple Bayesian Tree Algorithms for Prediction and Causal Inference
- A simple introduction to Markov Chain Monte-Carlo sampling
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A simple introduction to Markov Chain Monte-Carlo sampling
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- Bayesian Nonparametric Methods For Causal Inference And Prediction
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A Conceptual Introduction to Markov Chain Monte Carlo Methods
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- Bayesian regression tree models for causal inference: regularization, confounding, and heterogeneous effects
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A simple introduction to Markov Chain Monte-Carlo sampling
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A simple introduction to Markov Chain Monte-Carlo sampling
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A simple introduction to Markov Chain Monte-Carlo sampling
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A simple introduction to Markov Chain Monte-Carlo sampling
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A simple introduction to Markov Chain Monte-Carlo sampling
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A simple introduction to Markov Chain Monte-Carlo sampling
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A simple introduction to Markov Chain Monte-Carlo sampling
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A simple introduction to Markov Chain Monte-Carlo sampling
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A simple introduction to Markov Chain Monte-Carlo sampling
- Markov Chain Monte Carlo: an introduction for epidemiologists
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A simple introduction to Markov Chain Monte-Carlo sampling
- A simple introduction to Markov Chain Monte-Carlo sampling
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A simple introduction to Markov Chain Monte-Carlo sampling
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A simple introduction to Markov Chain Monte-Carlo sampling
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A simple introduction to Markov Chain Monte-Carlo sampling
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A simple introduction to Markov Chain Monte-Carlo sampling
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A simple introduction to Markov Chain Monte-Carlo sampling
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A simple introduction to Markov Chain Monte-Carlo sampling
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A simple introduction to Markov Chain Monte-Carlo sampling
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A simple introduction to Markov Chain Monte-Carlo sampling
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A simple introduction to Markov Chain Monte-Carlo sampling
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A simple introduction to Markov Chain Monte-Carlo sampling
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- A simple introduction to Markov Chain Monte-Carlo sampling
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- Data Analysis Recipes: Using Markov Chain Monte Carlo
- Data Analysis Recipes: Using Markov Chain Monte Carlo
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Courses
- Bayesian Statistics: From Concept to Data Analysis, University of California Santa Cruz
- Bayesian Methods for Machine Learning, HSE University
- Introduction to Bayesian Analysis Course with Python 2021, Udemy
- Bayesian Machine Learning in Python: A/B Testing, Udemy
- A Comprehensive Guide to Bayesian Statistics, Udemy
- Statistical Rethinking, Max Planck Institute for Evolutionary Anthropology, Leipzig
- Bayesian Statistics for the Social Science, Benjamin Goodrich, Columbia University New York
- Bayesian Data Analysis in Python, Datacamp
- Towards Bayesian Regression by Kapil Sachdeva
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Curriculum and Syllabus
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Blogs
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Web Articles
- Absolutely the simplest introduction to Bayesian statistics
- My Journey From Frequentist to Bayesian Statistics
- Frequentist vs. Bayesian approach in A/B testing
- Bayesian inference tutorial: a hello world example
- Nonparametric Bayesian Statistics
- A Guide to Bayesian Statistics
- Bayesian Priors for Parameter Estimation
- Bayesian Statistics Wikipedia
- Develop an Intuition for Bayes Theorem With Worked Examples
- Bayes Theorem, mathisfun.com
- Is Bayes' Theorem really that interesting?
- Bayes's Theorem: What's the Big Deal?
- Bayes Theorem: A Framework for Critical Thinking
- Why testing positive for a disease may not mean you are sick. Visualization of the Bayes Theorem and Conditional Probability
- How To Use Bayes's Theorem In Real Life
- A Gentle Introduction to Markov Chain Monte Carlo for Probability
- Markov Chain Monte Carlo Without all the Bullshit
- How would you explain Markov Chain Monte Carlo (MCMC) to a layperson?
- Markov Chain Monte Carlo in Practice
- Causal Bayesian Networks: A flexible tool to enable fairer machine learning
- A Comprehensive Introduction to Bayesian Deep Learning
- A Technical Explanation of Technical Explanation
- An Intuitive Explanation of Bayes Theorem
- MCMC sampling for dummies
- Bayes’ Theorem: the maths tool we probably use every day, but what is it?
- Bayesian vs. Frequentist A/B Testing: What’s the Difference?
- Understand Bayes’ Theorem Through Visualization
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Probability Distributions
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People
- Andreas Krause, Professor of Computer Science, ETH Zurich
- Svetha Venkatesh, Professor of Computer Science, Deakin University
- Juergen Branke, Professor of Operational Research and Systems, Warwick Business School
- Michael A Osborne, Professor of Machine Learning, University of Oxford
- Matthias Seeger, Principal Applied Scientist, Amazon
- Eytan Bakshy, Research Director, Facebook
- Aaron Klein, AWS Research Berlin
- David Ginsbourger,University of Bern
- Jonathan Marchini, Head of Statistical Genetics and Methods, Regeneron Genetics Center
- Kyle Foreman, University of Washington
- Adrian E. Raftery, Professor of Statistics and Sociology, University of Washington
- Zoubin Ghahramani, Professor, University of Cambridge, and Distinguished Researcher, Google
- Jun S Liu, Professor of statistics, Harvard University
- David Dunson, Arts & Sciences Professor of Statistical Science & Mathematics, Duke
- Giovanni Parmigiani, Professor Department of Data Science, DFCI
- Aki Vehtari, Associate Professor, Aalto University
- Chiara Sabatti, Professor of Biomedical Data Science and of Statistics, Stanford University
- Peter E Rossi, James Collins Professor of Economics, Marketing, and Statistics, UCLA
Programming Languages
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