avehtari / BDA_m_demosLinks
Bayesian Data Analysis demos for Matlab/Octave
☆65Updated 5 years ago
Alternatives and similar repositories for BDA_m_demos
Users that are interested in BDA_m_demos are comparing it to the libraries listed below
Sorting:
- Matlab interface to Stan, a package for Bayesian inference☆83Updated 2 years ago
- GPstuff - Gaussian process models for Bayesian analysis☆175Updated 2 years ago
- Generalized lasso implementations☆46Updated 11 months ago
- Stan models for state space time series☆146Updated 8 years ago
- Bayesian Modeling using Stan in R (May/June 2016)☆54Updated 9 years ago
- Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"☆28Updated 6 years ago
- All code related to the paper: "A Copula Statistic for Measuring Nonlinear Multivariate Dependence"☆12Updated 3 years ago
- Case studies on model assessment, model selection and inference after model selection☆170Updated last year
- Implementation of B-Splines in Stan☆51Updated 7 years ago
- R package for statistical inference using partially observed Markov processes☆118Updated last week
- ☆56Updated 3 years ago
- John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS☆118Updated 8 years ago
- State space models (dynamic linear models, hidden Markov models) implemented in Stan.☆47Updated 7 years ago
- Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition☆68Updated 7 years ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆77Updated last year
- Draft introduction to probability and inference aimed at the Stan manual.☆85Updated 9 years ago
- Full Bayesian Inference for Hidden Markov Models☆43Updated 6 years ago
- Comparisons between best subset selection and other popular sparse regression estimators☆87Updated 2 years ago
- Sparse Principal Component Analysis (SPCA) using Variable Projection☆70Updated 7 years ago
- Implementing MCMC sampling from scratch in R for various Bayesian models☆110Updated last year
- Companion package to the 2nd edition of the book "Robust Statistics: Theory and Methods"☆20Updated 6 months ago
- An R package for large scale estimation with stochastic gradient descent☆62Updated last year
- Time Series Analysis for the State-Space Model with R/Stan☆24Updated 3 years ago
- Repo for code from the SBC paper☆24Updated 6 years ago
- Inference case studies in knitr☆169Updated 3 years ago
- Penalized Sparse Learning Solver - Unleash the Power of Nonconvex Penalty☆76Updated 3 years ago
- Solving Statistical Optimization Problems Using the ADMM Algorithm☆76Updated 8 years ago
- Getting started with the Expectation Maximization algorithm, Mixture Models and Hidden Markov Models☆18Updated 10 years ago
- sgmcmc: a stochastic gradient MCMC package for R☆30Updated 4 years ago
- R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''☆46Updated 5 years ago