fonnesbeck / stan_workshop_2016Links
Bayesian Modeling using Stan in R (May/June 2016)
☆54Updated 9 years ago
Alternatives and similar repositories for stan_workshop_2016
Users that are interested in stan_workshop_2016 are comparing it to the libraries listed below
Sorting:
- Library of Stan Models for Survival Analysis☆124Updated 5 years ago
- Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python☆45Updated 10 years ago
- Files for Modern Statistical Workflow workshop☆10Updated 9 years ago
- This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.☆70Updated 7 years ago
- Draft introduction to probability and inference aimed at the Stan manual.☆82Updated 9 years ago
- ☆31Updated 9 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆127Updated 9 years ago
- Python solver for mixed-effects models☆97Updated 5 months ago
- Tutorial in randomization inference, experimental design and analysis, and experiments in networks.☆30Updated 9 years ago
- An R package for large scale estimation with stochastic gradient descent☆62Updated this week
- Comparisons between best subset selection and other popular sparse regression estimators☆88Updated 2 years ago
- Inference case studies in jupyter☆93Updated 7 years ago
- Toolbox for Bayesian Optimization and Model-Based Optimization in R☆188Updated 2 years ago
- An R-Java Bayesian Additive Regression Trees implementation☆62Updated last year
- My Jupyter notebook server☆19Updated 3 years ago
- Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition☆67Updated 7 years ago
- John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS☆118Updated 8 years ago
- Stan models for state space time series☆146Updated 8 years ago
- Generalized lasso implementations☆46Updated last year
- Case studies on model assessment, model selection and inference after model selection☆169Updated last year
- Materials from Stan conferences☆254Updated 5 years ago
- Tutorial on multilevel modeling, using Gelman radon example☆58Updated 10 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 7 months ago
- repo for "Optimal Inference After Model Selection"☆14Updated 8 years ago
- State space models (dynamic linear models, hidden Markov models) implemented in Stan.☆48Updated 7 years ago
- ☆97Updated 7 years ago
- Recurrent Neural Networks in R☆77Updated 2 years ago
- Define Stan models using glmer-style (lme4) formulas☆54Updated 11 years ago
- Beginner tutorial for using cmdstan with multithreading☆62Updated 5 years ago
- Dimensionality reduction for binary data☆51Updated 5 years ago