betanalpha / stan_introLinks
Draft introduction to probability and inference aimed at the Stan manual.
☆84Updated 9 years ago
Alternatives and similar repositories for stan_intro
Users that are interested in stan_intro are comparing it to the libraries listed below
Sorting:
- 'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)☆67Updated 5 years ago
- Source files for the book "Bayesian Workflow Using Stan"☆97Updated 4 years ago
- Case studies on model assessment, model selection and inference after model selection☆170Updated 2 years ago
- Beginner tutorial for using cmdstan with multithreading☆62Updated 5 years ago
- State space models (dynamic linear models, hidden Markov models) implemented in Stan.☆48Updated 7 years ago
- Implementation of B-Splines in Stan☆51Updated 8 years ago
- Inference case studies in knitr☆171Updated 3 years ago
- Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition☆68Updated 8 years ago
- ☆31Updated 5 years ago
- A complete environment for Bayesian inference within R☆96Updated last year
- Projection predictive variable selection☆113Updated last week
- loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)☆155Updated last week
- Case studies in applied and computational statistics.☆39Updated 8 months ago
- Documentation for the Stan language and CmdStan☆42Updated last week
- Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.☆48Updated last year
- Bayesian Generalized Linear Models with Time-Varying Coefficients☆45Updated last year
- Bayesian linear survival analysis with shrinkage priors in Stan☆25Updated 10 years ago
- Stan models for state space time series☆146Updated 8 years ago
- StanCon2018 Helsinki Tutorial☆30Updated 6 years ago
- ☆79Updated 3 months ago
- Repo for code from the SBC paper☆24Updated 6 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 9 months ago
- Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017☆56Updated 6 years ago
- Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC☆32Updated 4 years ago
- R package for statistical inference using partially observed Markov processes☆119Updated last month
- Define Stan models using glmer-style (lme4) formulas☆55Updated 11 years ago
- Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html☆83Updated 9 years ago
- ☆56Updated 3 years ago
- Tools for automatically generating local sensitivity measures in Stan.☆36Updated 5 years ago
- An R package for large scale estimation with stochastic gradient descent☆62Updated 2 months ago