A friendly MCMC framework
Metropolis and Nested Sampling in R
Monte Carlo Penalty Selection for graphical lasso
Bayesian Regression Analyses from scratch - NBA data example
Instructed by : Prof. Manisha Pal. A repository created with the practical problems on Bayesian computing and some advance computing related to MCMC, Metropolis etc.
Gibbs sampler implementation of a hierarchical Bayesian model for the analysis of double pass data
This repo contains the codes in R and Cpp to replicate the original proposal of Linkletter for Bayesian Spatial Process Models for Social Network Analysis and our proposal using an estimation of the likelihood function.
Simulation of random numbers using Metropolis Hastings MCMC technique/algorithm
MCMC with R
CUHK Course code: STAT 3011 | This course is designed to strengthen students' ability in statistical computing as well as in processing and analysing data. Students are required to participate in several term projects with emphasis on techniques of data management and analysis.
This repo contains the codes, images, report and slides for the project of the course - MTH516A: Non-Parametric Inference at IIT Kanpur during the academic year 2022-2023.
Monte Carlo Markov Chain algorithms in R and Python
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