STOR-i / sgmcmcLinks
sgmcmc: a stochastic gradient MCMC package for R
☆29Updated 4 years ago
Alternatives and similar repositories for sgmcmc
Users that are interested in sgmcmc are comparing it to the libraries listed below
Sorting:
- Unbiased Markov chain Monte Carlo with couplings☆29Updated 2 years ago
- Generalized lasso implementations☆46Updated 9 months ago
- repo for "Optimal Inference After Model Selection"☆12Updated 8 years ago
- Comparisons between best subset selection and other popular sparse regression estimators☆86Updated last year
- An R package for large scale estimation with stochastic gradient descent☆62Updated last year
- Draft introduction to probability and inference aimed at the Stan manual.☆86Updated 9 years ago
- An R-Java Bayesian Additive Regression Trees implementation☆62Updated last year
- Repo for code from the SBC paper☆24Updated 6 years ago
- Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"☆28Updated 6 years ago
- Penalized Sparse Learning Solver - Unleash the Power of Nonconvex Penalty☆76Updated 3 years ago
- General Latent Feature Modeling for Heterogeneous data☆49Updated last year
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆77Updated last year
- ☆31Updated 2 months ago
- Variational inference for Bayesian logistic regression☆12Updated 5 years ago
- Path algorithm for generalized lasso problems☆32Updated 2 years ago
- This repository holds all course materials for the fall 2016 offering of Statistics 238 (Bayesian Statistics) at UC Berkeley.☆30Updated 8 years ago
- 'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)☆66Updated 4 years ago
- ☆56Updated 2 years ago
- A Semi-Supervised Learning package for the R programming language☆58Updated last year
- ☆13Updated 8 years ago
- ☆32Updated 5 years ago
- Tools for automatically generating local sensitivity measures in Stan.☆36Updated 4 years ago
- ☆30Updated 4 years ago
- Efficient Algorithms for L0 Regularized Learning☆101Updated last year
- The holdout randomization test: feature selection using black box predictive models☆22Updated 4 years ago
- State space models (dynamic linear models, hidden Markov models) implemented in Stan.☆47Updated 7 years ago
- Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC☆32Updated 3 years ago
- Some teaching material and other educational resources☆41Updated 9 months ago
- Bayesian Regression Models in Pyro☆72Updated 11 months ago
- Case studies in applied and computational statistics.☆38Updated 2 months ago