Stochastic System Identification Toolkit (SSIT) to model, analyze and design single-cell experiments

Joint stochastic prediction of vessel kinematics and destination based on a maritime traffic graph

Synthesizing and validating barrier certificates for unknown dynamical systems with latent states and polynomial dynamics using Bayesian inference

Monty Hall problem: why host policy matters

Interface for using finite elements in inverse problems with complex domains

Model discovery based on Bayesian Evidence (a.k.a. marginal likelihood) and nonlinear Orthogonal Distance Regression.

Estimation of spin observables using bootsrap particle filter

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

Code for the manuscript "A probabilistic diagnostic for Laplace approximations: Introduction and experimentation"

CE-ABC is a code to simulate the epidemic outbreaks with mechanistic models through a cross-entropy approximate Bayesian framework.

This repository contains the post-processed data and MATLAB scripts used to reproduce all figures presented in the manuscript and Supplementary Information (SI) of: "Nonequilibrium Self-Assembly Control by the Stochastic Landscape Method". Authors: Michael Faran and Prof. Gili Bisker.

A Matlab nested sampling implementation

Bayesian inference toolbox for SPM12

Bayesian framework for concept learning

A Model and Bayesian approach to estimate kinetic parameters of TFPI inhibition of blood clotting factor X activation

Implementation of various inference and learning algorithms for Probabilistic Graphical Models (PGMs) without off-the-shelf libraries. Also includes projects from the PGM specialization on Coursera offered by Stanford.

Repository to the notes and relevant codes from previous lectures and talks.

Code for the nested hybrid filters (NHFs), including four different implementations using sequential Monte Carlo (SMC), sequential quasi-Monte Carlo (SQMC), extended Kalman filters (EKFs) and ensemble Kalman filters (EnKFs). I have also included the implementation of the nested particle filter (NPF) and the two-stage filter to compare performance.

Tutorial covering group DCM analyses of fMRI and M/EEG

This contains the implementation for the examples in the paper "Multi-index Sequential Monte Carlo ratio estimators for Bayesian Inverse problems".