-
Updated
Oct 12, 2018 - R
metropolis-hastings
Here are 14 public repositories matching this topic...
Bayesian Regression Analyses from scratch - NBA data example
-
Updated
Jan 26, 2023 - R
Gibbs sampler implementation of a hierarchical Bayesian model for the analysis of double pass data
-
Updated
Aug 27, 2020 - R
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.
-
Updated
Oct 6, 2022 - 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.
-
Updated
Jan 16, 2023 - R
Instructed by : Prof. Manisha Pal. A repository created with the practical problems on Bayesian computing and some advance computing related to MCMC, Metropolis etc.
-
Updated
Nov 26, 2023 - R
MCMC with R
-
Updated
Jul 31, 2019 - R
Monte Carlo Markov Chain algorithms in R and Python
-
Updated
Apr 1, 2023 - R
Simulation of random numbers using Metropolis Hastings MCMC technique/algorithm
-
Updated
Apr 15, 2017 - R
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.
-
Updated
May 23, 2022 - R
-
Updated
May 7, 2020 - R
Monte Carlo Penalty Selection for graphical lasso
-
Updated
Nov 2, 2022 - R
Metropolis and Nested Sampling in R
-
Updated
Mar 17, 2021 - R
A friendly MCMC framework
-
Updated
Sep 18, 2023 - R
Improve this page
Add a description, image, and links to the metropolis-hastings topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the metropolis-hastings topic, visit your repo's landing page and select "manage topics."