TAPAS - Translational Algorithms for Psychiatry-Advancing Science
GPstuff - Gaussian process models for Bayesian analysis
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
Bayesian Data Analysis demos for Matlab/Octave
Estimation of heterogeneous agent models using both macro and micro data
Interface for using finite elements in inverse problems with complex domains
Scalable sparse Bayesian learning for large CS recovery problems
Stochastic System Identification Toolkit (SSIT) to model, analyze and design single-cell experiments
UAI 2015. Kernel-based just-in-time learning for expectation propagation
AISTATS 2016. K2-ABC: Approximate Bayesian Computation with Kernel Embeddings.
Repository to tutorials on the implementation of the Transitional Ensemble Markov Chain Monte Carlo (TEMCMC) sampler for Bayesian Model Updating.
A Matlab nested sampling implementation
Bayesian Statistics Guide
Bayesian Estimation of DSGE Models from Pf. Frank Schorfheide in University of Pennsylvania
Paper and source codes for Uncovering the Hit List for Small Inflation Targeters
Repository to the notes and relevant codes from previous lectures and talks.
A repository of tutorials demonstrating the implementation of the Affine Invariant Ensemble Sampler.
These are the codes for IM selection paper.
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