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A curated list of awesome Bayesian statistics blogs and resources
https://github.com/hectormz/awesome-bayes

List: awesome-bayes

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A curated list of awesome Bayesian statistics blogs and resources

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README 

        
# Awesome Bayes



A curated list of awesome Bayesian statistics blogs and resources.

The resources may not be explicitly Bayesian-focused,

but you should have a high probability of finding a Bayesian post.

Recent posts are provided for (almost) every resource to indicate the likelihood the author is still writing Bayesian posts.



Inspired by [awesome-python](https://github.com/vinta/awesome-python).



- [Awesome Bayes](#awesome-bayes)

    - [Blogs](#blogs)

    - [Podcasts](#podcasts)

- [Contributing](#contributing)



## Blogs



- [A. Solomon Kurz](https://solomonkurz.netlify.app/blog/)



    - Author: A. Solomon Kurz



    - Recent Post: [Causal inference with beta regression](https://solomonkurz.netlify.app/blog/2023-06-25-causal-inference-with-beta-regression/) (June 25, 2023)



- [Andreas Handel](https://www.andreashandel.com/posts)



    - Author: Andreas Handel



    - Recent Post: [Bayesian analysis of longitudinal multilevel data using brms and rethinking - part 4](https://www.andreashandel.com/posts/longitudinal-multilevel-bayesian-analysis-4/) (May 13, 2022)



- [Andrew Heiss](https://www.andrewheiss.com/blog/)



    - Author: Andrew Heiss



    - Recent Post: [Guide to understanding the intuition behind the Dirichlet distribution](https://www.andrewheiss.com/blog/2023/09/18/understanding-dirichlet-beta-intuition/) (September 18, 2023)



- [Austin Rochford](https://austinrochford.com/posts.html)



    - Author: Austin Rochford



    - Recent Post: [Order-restrictions in JAGS: Five Methods Fail, One Method Succeeds](https://www.bayesianspectacles.org/order-restrictions-in-jags-five-methods-fail-one-method-succeeds/) (January 24, 2023)



- [Bayesian Spectacles](https://www.bayesianspectacles.org/)



    - Recent Post: [What Determines the Price of LEGO Sets? A Bayesian Analysis with Twists and Turns](https://www.bayesianspectacles.org/what-determines-the-price-of-lego-sets-a-bayesian-analysis-with-twists-and-turns/) (July 10, 2023)



- [BetanAlpha](https://betanalpha.github.io/writing/)



    - Author: Michael Betancourt



    - Recent Post: [Bridge Over Troubled Processes](https://betanalpha.github.io/assets/case_studies/brownian_bridge.html) (May 2022)



- [Chris Stucchio](https://www.chrisstucchio.com/blog/index.html)



    - Author: Chris Stucchio



    - Recent Post: [Calibrating a classifier when the base rate changes](https://www.chrisstucchio.com/blog/2020/calibrated_classifier_base_rates.html) (July 7, 2020)



- [Colin Carroll](https://colindcarroll.com/)



    - Author: Colin Carroll



    - Recent Post: [Highlights of PyMC3 v3.8](https://colindcarroll.com/2019/11/29/highlights-of-pymc3-v3.8/) (November 29, 2019)



- [Computational Behavior Lab](https://cluhmann.github.io/)



    - Author: Christian Luhmann



    - Recent Post: [Coordinates in PyMC & InferenceData Objects](https://cluhmann.github.io/inferencedata/) (June 4, 2022)



- [Count Bayesie](https://www.countbayesie.com/)



    - Author: Will Kurt



    - Recent Post: [How to Read the News like a Bayesian](https://www.countbayesie.com/blog/2022/2/19/how-to-read-the-news-like-a-bayesian) (February 19, 2022)



- [Desi R. Ivanova](https://desirivanova.com/post/)



    - Author: Desi R. Ivanova



    - Recent Post: [Introduction to Bayesian Optimal Experimental Design](https://desirivanova.com/post/boed-intro/) (September 25, 2018)



- [Daniel Hadley](https://www.danielphadley.com/#posts)



    - Author: Daniel Hadley



    - Recent Post: [Empirical Bayes to Estimate NBA Treys](https://www.danielphadley.com/empirical_bayes_nba_treys/) (September 25, 2018)



- [Doing Bayesian Data Analysis](https://doingbayesiandataanalysis.blogspot.com/)



    - Author: John K. Kruschke



    - Recent Post: [A novel trend model made possible by Bayesian software](https://doingbayesiandataanalysis.blogspot.com/2022/02/a-novel-trend-model-made-possible-by.html) (February 15, 2022)



- [Elements of Evolutionary Anthropology](http://elevanth.org/blog/)



    - Author: Richard McElreath



    - Recent Post: [None of the Above](https://elevanth.org/blog/2023/07/17/none-of-the-above/) (July 17, 2023)



- [George Ho](https://www.georgeho.org/blog/)



    - Author: George Ho



    - Recent Post: [littlemcmc — A Standalone HMC and NUTS Sampler in Python](https://www.georgeho.org/littlemcmc/) (October 6, 2020)



- [Eric J. Ma's Personal Site](https://ericmjl.github.io/blog/)



    - Author: Eric J. Ma



    - Recent Post: [Probability Simplex](https://ericmjl.github.io/blog/2021/5/5/probability-simplex/) (May 5, 2021)



- [Ethan Rosenthal](https://www.ethanrosenthal.com/#blog)



    - Author: Ethan Rosenthal



    - Recent Post: [Bayesian Rock Climbing Rankings](https://www.ethanrosenthal.com/2022/04/15/bayesian-rock-climbing/) (April 4, 2022)



- [The Etz-Files](https://alexanderetz.com/)



    - Author: Alex Etz



    - Recent Post: [A quick comment on recent BF (vs p-value) error control blog posts](https://alexanderetz.com/2016/07/20/a-quick-comment-on-recent-bf-vs-p-value-error-control-blog-posts/) (July 20, 2016)



- [Henrik Singmann - Computational Psychology](http://singmann.org/blog/)



    - Author: Henrik Singmann



    - Recent Post: [Diffusion/Wiener Model Analysis with brms – Part III: Hypothesis Tests of Parameter Estimates](http://singmann.org/wiener-model-analysis-with-brms-part-iii/) (September 6, 2018)



- [Higher Order Functions](https://www.tjmahr.com/)



    - Author: Tristan Mahr



    - Recent Post: [Ordering constraints in brms using contrast coding](https://www.tjmahr.com/bayesian-ordering-constraint/) (July 3, 2023)



- [John D. Cook](https://www.johndcook.com/blog/tag/bayesian/)



    - Author: John D. Cook



    - Recent Post: [Beta approximation to binomial](https://www.johndcook.com/blog/2023/04/24/beta-approximation-to-binomial/) (April 24, 2023)



- [Joshua Cook](https://joshuacook.netlify.app/#posts)



    - Author: Joshua Cook



    - Recent Post: [Dirichlet Regression with PyMC](https://joshuacook.netlify.app/post/dirichlet-regression-pymc/) (November 9, 2022)



- [mages' blog](https://magesblog.com/#posts)



    - Author: Markus Gesmann



    - Recent Post: [Hierarchical Compartmental Reserving Models for Business Planning](https://magesblog.com/post/2023-08-21-hierarchical-compartmental-reserving-models-for-business-planning/) (August 21, 2023)



- [Karin Knudson](https://karinknudson.com/blog.html)



    - Author: Karin Knudson



    - Recent Post: [Expectation Maximization (EM)](https://karinknudson.com/expectationmaximization.html) (July 31, 2020)



- [Matthew Kay](https://blog.mjskay.com/)



    - Author: Matthew Kay



    - Recent Post: [Announcing tidybayes + ggdist 3.0](https://blog.mjskay.com/2021/07/15/tidybayes-ggdist-3-0/) (July 15, 2021)



- [Michael Clark](https://m-clark.github.io/)



    - Author: Michael Clark



    - Recent Post: [Practical Bayes Part II](https://m-clark.github.io/posts/2021-02-28-practical-bayes-part-ii/) (February 27, 2021)



- [Neuroscience, Stats, and Coding](https://lindeloev.net/)



    - Author: Jonas Kristoffer Lindeløv



    - Recent Post: [New tutorial on optimal decisions using Utility Theory](https://lindeloev.net/new-tutorial-on-optimal-decisions-using-utility-theory/) (May 28, 2019)



- [Oriol Unraveled](https://oriolabrilpla.cat/blog/)



    - Author: Oriol Abril Pla



    - Recent Post: [PyMC 4.0 with Labeled Coords and Dims](https://oriolabrilpla.cat/python/arviz/pymc/xarray/2022/06/07/pymc-arviz.html) (June 7, 2022)



- [Ph.Demetri](https://dpananos.github.io/)



    - Author: Demetri Pananos



    - Recent Post: [Forecasting Experimental Lift Using Hierarchical Bayesian Modelling](https://dpananos.github.io/posts/2022-07-20-pooling-experiments/) (July 20, 2022)



- [Probably Credible](https://www.probablycredible.com/blog)



    - Author: Hector



    - Recent Post: [How Much Will My Dog Weigh? Using Bayesian Modeling to Predict My Dog’s Weight](https://www.probablycredible.com/blog/bayesian-model-dog-weight/) (October 28, 2023)



- [Probably Overthinking It](https://www.allendowney.com/blog/)



    - Author: Allen Downey



    - Recent Post: [Emitter Detector Redux](https://www.allendowney.com/blog/2021/09/05/emitter-detector-redux/) (September 5, 2021)



- [Publishable Stuff](http://www.sumsar.net/)



    - Author: Rasmus Bååth



    - Recent Post: [Yet another visualization of the Bayesian Beta-Binomial model](http://www.sumsar.net/blog/2018/12/visualizing-the-beta-binomial/) (December 13, 2018)



- [PyMC Blog](https://www.pymc.io/blog.html)



- [PyMC Examples](https://www.pymc.io/projects/examples/en/latest/gallery.html)



- [PyMC Labs](https://www.pymc-labs.io/blog-posts/)



    - Recent Post: [Developing Hierarchical Models for Sports Analytics](https://www.pymc-labs.com/blog-posts/2023-09-15-Hierarchical-models-Chris-Fonnesbeck/) (September 26, 2023)



- [Pythonic Perambulations](https://jakevdp.github.io/)



    - Author: Jake VanderPlas



    - Recent Post: [Frequentism and Bayesianism V: Model Selection](https://jakevdp.github.io/blog/2015/08/07/frequentism-and-bayesianism-5-model-selection/) (August 7, 2015)



- [Robert Grant - stats](http://www.robertgrantstats.co.uk/publications.html#articles)



    - Author: Robert Grant



    - Recent Post: [How (not) to introduce newcomers to Bayesian analysis](http://www.robertgrantstats.co.uk/papers/how-not-to-introduce.pdf) (2018)



- [Dr. Robert Kübler](https://dr-robert-kuebler.medium.com/)



    - Author: Dr. Robert Kübler



    - Recent Post: [Convenient Bayesian Marketing Mix Modeling with PyMC Marketing](https://towardsdatascience.com/convenient-bayesian-marketing-mix-modeling-with-pymc-marketing-8b02a9a9c4aa) (April 13, 2023)



- [Sometimes I R](https://vuorre.netlify.app/blog)



    - Author: Matti Vuorre



    - Recent Post: [Latent mean centering with brms](https://vuorre.netlify.app/posts/latent-mean-centering/) (January 1, 2023)



- [Stan Case Studies](https://mc-stan.org/users/documentation/case-studies.html)



    - Recent Post: [Instrumental Variables Analysis of Randomized Experiments with One-Sided Noncompliance](https://mc-stan.org/users/documentation/case-studies/cace_one-sided.html) (September 15, 2023)



- [Statistical Modeling, Causal Inference, and Social Science](https://statmodeling.stat.columbia.edu/)



    - Authors: Andrew Gelman and others



    - Recent Post: [How big problem it is that cross-validation is biased?](https://statmodeling.stat.columbia.edu/2023/09/15/how-big-problem-it-is-that-cross-validation-is-biased/) (September 15, 2023)



- [Statistical Thinking](https://www.fharrell.com/#posts)



    - Author: Frank Harrell



    - Recent Post: [Wedding Bayesian and Frequentist Designs Created a Mess](https://www.fharrell.com/post/hybrid/) (August 22, 2023)



- [Steven V. Miller](http://svmiller.com/blog/)



    - Author: Steven V. Miller



    - Recent Post: [How Should You Think About Your Priors for a Bayesian Analysis?](http://svmiller.com/blog/2021/02/thinking-about-your-priors-bayesian-analysis/) (February 8, 2021)



- [Susan Li](https://actsusanli.medium.com/)



    - Author: Susan Li



    - Recent Post: [Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification](https://towardsdatascience.com/forecasting-the-2020-us-election-using-multilevel-regression-with-post-stratification-bbf2f93585fb) (July 17, 2021)



- [Tomás Capretto](https://tomicapretto.github.io/posts)



    - Author: Tomás Capretto



    - Recent Post: [How to create a custom family in Bambi?](https://tomicapretto.github.io/posts/2023-01-14_add_custom_family_bambi/) (January 14, 2023)



- [Un garçon pas comme les autres (Bayes)](https://dansblog.netlify.app/)



    - Author: Dan Simpson



    - Recent Post: [MCMC with the wrong acceptance probability](https://dansblog.netlify.app/posts/2022-11-23-wrong-mcmc/wrong-mcmc) (November 23, 2022)



- [Variance Explained](http://varianceexplained.org/)



    - Author: David Robinson



    - Recent Post: [Simulation of empirical Bayesian methods (using baseball statistics)](http://varianceexplained.org/r/simulation-bayes-baseball/) (January 11, 2017)



- [While My MCMC Gently Samples](https://twiecki.io/)



    - Author: Thomas Wiecki



    - Recent Post: [Using Bayesian Decision Making to Optimize Supply Chains](https://twiecki.io/blog/2019/01/14/supply_chain/) (January 14, 2019)



- [Xi'an's 'Og](https://xianblog.wordpress.com/)



    - Author: Christian P. Robert



    - Recent Post: [nonparametric ABC [seminar]](https://xianblog.wordpress.com/2022/06/03/nonparametric-abc-seminar/) (June 3, 2022)



## Podcasts



- [The Bayes Factor](https://sites.tufts.edu/hilab/series/the-bayes-factor/)



    - Host: Human Interaction Laboratory @ Tufts University



    - Recent Episode: [Michael Lee](https://sites.tufts.edu/hilab/podcast/michael-lee/) (January 4, 2021)



- [Data Skeptic](https://dataskeptic.com/)



    - Host: Kyle Polich



    - Recent Episode: [Uncertainty Representations (with Jessica Hullman)](https://dataskeptic.com/blog/episodes/2020/uncertainty-representations) (April 4, 2020)



- [Learning Bayesian Statistics](https://www.learnbayesstats.com/)



    - Host: Alexandre Andorra



    - Recent Episode: [#91, Exploring European Football Analytics, with Max Göbel](https://learnbayesstats.com/episode/91-exploring-european-football-analytics-max-gobel/) (September 20, 2023)



- [The Local Maximum](https://www.localmaxradio.com/)



    - Host: Max Sklar



    - Recent Episode: [Episode 229 - Fun with Bayesian Statistics with Will Kurt](https://www.localmaxradio.com/episode/229-fun-with-bayesian-statistics-with-will-kurt) (June 6, 2022)



## Contributing



Your contributions are always welcome! Please take a look at the [contribution guidelines](https://github.com/hectormz/awesome-bayes/blob/master/CONTRIBUTING.md) first.