Various probabilistic numerics projects. Main one is Laplace_Approximation.
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Updated
Jul 10, 2022 - MATLAB
Various probabilistic numerics projects. Main one is Laplace_Approximation.
Bayesian Overlapping Community Detector (DBOCD) in Dynamic Networks
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.
Bayesian Model Selection course
Data for the Quantitative Single-Neuron Modeling Competition (2007).
Estimate the number of states or components in data generated by Poisson mixture model using Bayesian model selection and Nested Sampling
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.
This contains the implementation for the examples in the paper "Multi-index Sequential Monte Carlo ratio estimators for Bayesian Inverse problems".
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
Code for ABC-APTMC paper
Estimation of Causal structural model using Housing Price and Housing Credit
Data for 'Origins of a relatively tight lower bound on anthropogenic aerosol radiative forcing from Bayesian analysis of historical observations' (2021)
Repository containing code for the numerical results of the paper: "Time-limited Balanced Truncation for Data Assimilation Problems"
This repository consists of codes reproducing an existing method for autonomous Bayesian search strategy for single-agent robotic applications
Matlab toolbox for Bayesian inference with interacting particle systems
Using Statistical Learning Method to Segment Image
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