TAPAS - Translational Algorithms for Psychiatry-Advancing Science
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
GPstuff - Gaussian process models for Bayesian analysis
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
Image segmentation using the EM algorithm that relies on a GMM for intensities and a MRF model on the labels. Based on "Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm" (Zhang, Y et al.)
Scalable sparse Bayesian learning for large CS recovery problems
Repository to tutorials on the implementation of the Transitional Ensemble Markov Chain Monte Carlo (TEMCMC) sampler for Bayesian Model Updating.
UAI 2015. Kernel-based just-in-time learning for expectation propagation
Bayesian Statistics Guide
MATLAB code for 「Missing traffic data imputation and pattern discovery with a Bayesian augmented tensor factorization model」.
AISTATS 2016. K2-ABC: Approximate Bayesian Computation with Kernel Embeddings.
CE-ABC is a code to simulate the epidemic outbreaks with mechanistic models through a cross-entropy approximate Bayesian framework.
Variational Inference of Bayesian Linear Dynamical Systems. EM algorithm to infer and learn the dynamics of time-series data.
Easy-to-use traction force microscopy (TFM) software
User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction
These are the codes for IM selection paper.
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