Alternatives and similar repositories for BDA_m_demos

Users that are interested in BDA_m_demos are comparing it to the libraries listed below

• brian-lau / MatlabStan
  Matlab interface to Stan, a package for Bayesian inference
  ☆82Updated 2 years ago
• gpstuff-dev / gpstuff
  GPstuff - Gaussian process models for Bayesian analysis
  ☆174Updated 2 years ago
• sinhrks / stan-statespace
  Stan models for state space time series
  ☆145Updated 7 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆77Updated last year
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆171Updated last year
• compops / pmh-tutorial
  Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
  ☆28Updated 6 years ago
• NilsWinter / matlab-bayesian-estimation
  Matlab Toolbox for Bayesian Estimation
  ☆44Updated 9 years ago
• glmgen / glmgen
  Generalized lasso implementations
  ☆46Updated 7 months ago
• gabriuma / basis_functions_approach_to_GP
  ☆55Updated 2 years ago
• milkha / Splines_in_Stan
  Implementation of B-Splines in Stan
  ☆51Updated 7 years ago
• nchopin / py-smc2
  Automatically exported from code.google.com/p/py-smc2
  ☆14Updated 9 years ago
• helske / bssm
  Bayesian Inference of State Space Models
  ☆43Updated 8 months ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆86Updated 9 years ago
• jasonge27 / picasso
  Penalized Sparse Learning Solver - Unleash the Power of Nonconvex Penalty
  ☆76Updated 3 years ago
• VBayesLab / deepGLM
  Train deepGLM with Matlab, R and Python
  ☆27Updated 2 years ago
• EugeneNdiaye / GAPSAFE_SGL
  GAP Safe Screening Rules for Sparse-Group Lasso.
  ☆15Updated 6 years ago
• rcmorehead / simpleabc
  A Python package for Approximate Bayesian Computation
  ☆36Updated 8 years ago
• ryantibs / genlasso
  Path algorithm for generalized lasso problems
  ☆32Updated 2 years ago
• boboppie / kruschke-doing_bayesian_data_analysis
  John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS
  ☆117Updated 8 years ago
• jhoupt / DBDA2Estan
  Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition
  ☆68Updated 7 years ago
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆66Updated 4 years ago
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 9 years ago
• functionaldata / PACE_matlab
  ☆15Updated 2 years ago
• jrnold / ssmodels-in-stan
  State space models (dynamic linear models, hidden Markov models) implemented in Stan.
  ☆47Updated 7 years ago
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• hagijyun / Time_Series_Analysis_4SSM_R_Stan
  Time Series Analysis for the State-Space Model with R/Stan
  ☆24Updated 3 years ago
• gelman / ep-stan
  ☆32Updated 4 years ago
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆109Updated last year
• ayakubovich / EM
  Getting started with the Expectation Maximization algorithm, Mixture Models and Hidden Markov Models
  ☆18Updated 10 years ago
• stochasticresearch / copulastatistic
  All code related to the paper: "A Copula Statistic for Measuring Nonlinear Multivariate Dependence"
  ☆12Updated 3 years ago