Bayesian Overlapping Community Detector (DBOCD) in Dynamic Networks

Data for the Quantitative Single-Neuron Modeling Competition (2007).

Implementations of various Poisson Factor Analysis (PFA) models

Machine Learning and Analysis of Big Data course, Computer Science M.Sc., Ben Gurion University of the Negev, 2020

Monty Hall problem: why host policy matters

Repository containing code for the numerical results of the paper: "Time-limited Balanced Truncation for Data Assimilation Problems"

Estimation of spin observables using bootsrap particle filter

Estimation of Causal structural model using Housing Price and Housing Credit

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

Estimate the number of states or components in data generated by Poisson mixture model using Bayesian model selection and Nested Sampling

Bayesian Model Selection course

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

Bayesian linear regression model for event related potentials-analysis

This repository contains the source code of the paper "State and parameter estimation from exact partial state observation in stochastic reaction networks" by Muruhan Rahinam and Mingkai Yu.

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.

Bayesian framework for concept learning

Code for ABC-APTMC paper

Data for 'Origins of a relatively tight lower bound on anthropogenic aerosol radiative forcing from Bayesian analysis of historical observations' (2021)

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