Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-bayes
A curated list of awesome Bayesian statistics blogs and resources
https://github.com/hectormz/awesome-bayes
Last synced: about 22 hours ago
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Blogs
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Xi'an's 'Og
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- A. Solomon Kurz
- Causal inference with beta regression
- Andreas Handel
- Bayesian analysis of longitudinal multilevel data using brms and rethinking - part 4
- Andrew Heiss
- Guide to understanding the intuition behind the Dirichlet distribution
- Austin Rochford
- Order-restrictions in JAGS: Five Methods Fail, One Method Succeeds
- Bayesian Spectacles
- What Determines the Price of LEGO Sets? A Bayesian Analysis with Twists and Turns
- BetanAlpha
- Bridge Over Troubled Processes
- Chris Stucchio
- Calibrating a classifier when the base rate changes
- Colin Carroll
- Highlights of PyMC3 v3.8
- Computational Behavior Lab
- Coordinates in PyMC & InferenceData Objects
- Count Bayesie
- How to Read the News like a Bayesian
- Desi R. Ivanova
- Introduction to Bayesian Optimal Experimental Design
- Daniel Hadley
- Empirical Bayes to Estimate NBA Treys
- Doing Bayesian Data Analysis
- A novel trend model made possible by Bayesian software
- Elements of Evolutionary Anthropology
- None of the Above
- George Ho
- Eric J. Ma's Personal Site
- Probability Simplex
- Ethan Rosenthal
- Bayesian Rock Climbing Rankings
- The Etz-Files
- A quick comment on recent BF (vs p-value) error control blog posts
- Henrik Singmann - Computational Psychology
- Higher Order Functions
- Ordering constraints in brms using contrast coding
- John D. Cook
- Beta approximation to binomial
- Joshua Cook
- Dirichlet Regression with PyMC
- mages' blog
- Hierarchical Compartmental Reserving Models for Business Planning
- Karin Knudson
- Expectation Maximization (EM)
- Matthew Kay
- Announcing tidybayes + ggdist 3.0
- Michael Clark
- Practical Bayes Part II
- Neuroscience, Stats, and Coding
- New tutorial on optimal decisions using Utility Theory
- Oriol Unraveled
- PyMC 4.0 with Labeled Coords and Dims
- Ph.Demetri
- Forecasting Experimental Lift Using Hierarchical Bayesian Modelling
- Probably Credible
- Probably Overthinking It
- Emitter Detector Redux
- Publishable Stuff
- Yet another visualization of the Bayesian Beta-Binomial model
- PyMC Blog
- PyMC Examples
- PyMC Labs
- Developing Hierarchical Models for Sports Analytics
- Pythonic Perambulations
- Frequentism and Bayesianism V: Model Selection
- Robert Grant - stats
- How (not) to introduce newcomers to Bayesian analysis
- Dr. Robert Kübler
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Sometimes I R
- Latent mean centering with brms
- Stan Case Studies
- Instrumental Variables Analysis of Randomized Experiments with One-Sided Noncompliance
- Statistical Modeling, Causal Inference, and Social Science
- How big problem it is that cross-validation is biased?
- Statistical Thinking
- Wedding Bayesian and Frequentist Designs Created a Mess
- Steven V. Miller
- How Should You Think About Your Priors for a Bayesian Analysis?
- Susan Li
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Tomás Capretto
- How to create a custom family in Bambi?
- Un garçon pas comme les autres (Bayes)
- MCMC with the wrong acceptance probability
- Variance Explained
- Simulation of empirical Bayesian methods (using baseball statistics)
- While My MCMC Gently Samples
- Using Bayesian Decision Making to Optimize Supply Chains
- nonparametric ABC [seminar
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- littlemcmc — A Standalone HMC and NUTS Sampler in Python
- Diffusion/Wiener Model Analysis with brms – Part III: Hypothesis Tests of Parameter Estimates
- How Much Will My Dog Weigh? Using Bayesian Modeling to Predict My Dog’s Weight
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
- Convenient Bayesian Marketing Mix Modeling with PyMC Marketing
- Forecasting the 2020 US Election Using Multilevel Regression with Post-stratification
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