Alternatives and similar repositories for statistical-rethinking-python-solutions:

Users that are interested in statistical-rethinking-python-solutions are comparing it to the libraries listed below

• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆22Updated this week
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆94Updated 6 years ago
• jgabry / stancon2018helsinki_intro
  StanCon2018 Helsinki Tutorial
  ☆30Updated 5 years ago
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆96Updated 3 years ago
• jhelvy / stanTuneR
  This code uses the algebra solver in Stan (https://mc-stan.org/) to find the parameters of a distribution that produce a desired tail beh…
  ☆29Updated 5 years ago
• avehtari / casestudies
  ☆30Updated 7 months ago
• LedgerInvesting / bayesblend
  Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…
  ☆34Updated 5 months ago
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆91Updated 8 months ago
• adamhaber / stan2tfp
  stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…
  ☆24Updated 3 years ago
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆65Updated 4 years ago
• jhoupt / DBDA2Estan
  Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition
  ☆68Updated 7 years ago
• donaldRwilliams / BGGM
  Bayesian Gaussian Graphical Models
  ☆56Updated 3 weeks ago
• bambinos / kulprit
  Kullback-Leibler projections for Bayesian model selection in Python
  ☆33Updated 3 weeks ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated 10 months ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆86Updated 8 years ago
• ssp3nc3r / rethinking
  Examples from McElreath's Statistical Rethinking, First edition coded in Stan.
  ☆50Updated 6 years ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆171Updated last year
• ASKurz / Working-through-Regression-and-other-stories
  Working through "Regression and other stories," one chapter at a time
  ☆55Updated last year
• bob-carpenter / case-studies
  Case studies in applied and computational statistics.
  ☆36Updated 6 months ago
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆86Updated 2 months ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• tinu-schneider / DBDA_hierach_diagram
  init
  ☆50Updated 11 years ago
• hectormz / awesome-bayes
  A curated list of awesome Bayesian statistics blogs and resources
  ☆22Updated last year
• LaplacesDemonR / LaplacesDemon
  A complete environment for Bayesian inference within R
  ☆93Updated last year
• avehtari / rhat_ess
  Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
  ☆31Updated 3 years ago
• jtimonen / lgpr
  R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…
  ☆25Updated 7 months ago
• mikemeredith / BEST
  Bayesian Estimation Supersedes t-Test
  ☆30Updated 3 years ago
• CamDavidsonPilon / lifelike
  WIP predicted survival functions
  ☆37Updated 5 years ago