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
  ☆81Updated last year
• gpstuff-dev / gpstuff
  GPstuff - Gaussian process models for Bayesian analysis
  ☆172Updated 2 years ago
• glmgen / glmgen
  Generalized lasso implementations
  ☆46Updated 5 months ago
• Hua-Zhou / SparseReg
  Matlab toolbox for sparse regression
  ☆26Updated 3 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆76Updated last year
• nchopin / py-smc2
  Automatically exported from code.google.com/p/py-smc2
  ☆14Updated 9 years ago
• compops / pmh-tutorial
  Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
  ☆28Updated 5 years ago
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆170Updated last year
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆86Updated 8 years ago
• stochasticresearch / copulastatistic
  All code related to the paper: "A Copula Statistic for Measuring Nonlinear Multivariate Dependence"
  ☆12Updated 2 years ago
• gabriuma / basis_functions_approach_to_GP
  ☆54Updated 2 years ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆72Updated 6 years ago
• ryantibs / best-subset
  Comparisons between best subset selection and other popular sparse regression estimators
  ☆85Updated last year
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 8 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
• NilsWinter / matlab-bayesian-estimation
  Matlab Toolbox for Bayesian Estimation
  ☆43Updated 8 years ago
• DrugowitschLab / VBLinLogit
  Variational Bayes linear and logistic regression
  ☆34Updated 5 years ago
• gelman / ep-stan
  ☆32Updated 4 years ago
• sinhrks / stan-statespace
  Stan models for state space time series
  ☆144Updated 7 years ago
• ayakubovich / EM
  Getting started with the Expectation Maximization algorithm, Mixture Models and Hidden Markov Models
  ☆18Updated 9 years ago
• chengl7 / LonGP
  Gaussian process regression + automatical model selection for logitudinal -omics data
  ☆21Updated 4 years ago
• betanalpha / knitr_case_studies
  Inference case studies in knitr
  ☆167Updated 2 years ago
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• rmgarnett / gpml_extensions
  Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.
  ☆31Updated 7 years ago
• milkha / Splines_in_Stan
  Implementation of B-Splines in Stan
  ☆51Updated 7 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 6 years ago
• richardkwo / random-tree-parallel-MCMC
  PART: a fast algorithm for aggregating MCMC sub-chain samples
  ☆10Updated 9 years ago
• VBayesLab / deepGLM
  Train deepGLM with Matlab, R and Python
  ☆27Updated 2 years ago