avehtari / BDA_m_demosLinks
Bayesian Data Analysis demos for Matlab/Octave
☆64Updated 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
- Bayesian Modeling using Stan in R (May/June 2016)☆54Updated 9 years ago
- Stan models for state space time series☆145Updated 8 years ago
- Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"☆28Updated 6 years ago
- Implementation of B-Splines in Stan☆51Updated 7 years ago
- All code related to the paper: "A Copula Statistic for Measuring Nonlinear Multivariate Dependence"☆12Updated 3 years ago
- Generalized lasso implementations☆46Updated 9 months ago
- Comparisons between best subset selection and other popular sparse regression estimators☆86Updated 2 years ago
- ☆73Updated 7 years ago
- Companion package to the 2nd edition of the book "Robust Statistics: Theory and Methods"☆19Updated 4 months ago
- ☆56Updated 2 years ago
- Matlab toolbox for sparse regression☆28Updated 3 years ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆77Updated last year
- John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS☆117Updated 8 years ago
- State space models (dynamic linear models, hidden Markov models) implemented in Stan.☆47Updated 7 years ago
- Penalized Sparse Learning Solver - Unleash the Power of Nonconvex Penalty☆76Updated 3 years ago
- ☆15Updated 3 years ago
- R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''☆46Updated 4 years ago
- Variational Bayes linear and logistic regression☆34Updated 6 years ago
- Case studies on model assessment, model selection and inference after model selection☆171Updated last year
- Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition☆68Updated 7 years ago
- Draft introduction to probability and inference aimed at the Stan manual.☆85Updated 9 years ago
- Implementing MCMC sampling from scratch in R for various Bayesian models☆109Updated last year
- An R package for large scale estimation with stochastic gradient descent☆62Updated last year
- ☆30Updated 4 years ago
- Train deepGLM with Matlab, R and Python☆27Updated 2 years ago
- Inference case studies in knitr☆168Updated 2 years ago
- Sparse Principal Component Analysis (SPCA) using Variable Projection☆68Updated 7 years ago
- Repo for code from the SBC paper☆24Updated 6 years ago