Markov Chain Monte Carlo: Foundations & Applications
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Updated
Mar 10, 2017 - HTML
Markov Chain Monte Carlo: Foundations & Applications
This repo contains all the code and data for the research I have done into working on the Bayesian hierarchical model on loss curves.
Slides presented at AppliedR MeetUp September 20th, 2017
This repository holds the code and stan files for the creation of an example Stan case study on modelling loss curves in Insurance.
Computational Statistics with R
IRT models using various Bayesian methods
Homeworks from the Bayesian Statistics course of accademic year 2018/2019 at University of Trieste
Bayesian analysis of play store app ratings
Optimal drug dosing with MCMC using rstan
Lottery analysis
This is the code of the model developed as part of the MSc research thesis in Economics at Bocconi University.
R program for a metropolis-hastings based MCMC sampler using a multivariate-normal proposal distribution.
Bayesian Statistics in R
Material for a workshop on Bayesian analysis of capture-recapture data with hidden Markov models and Nimble
R package for controlled multiple imputation of ordinal or binary responses with missing data in clinical study
Project for the class "Bayesian Data Analysis". Grade 10/10.
Feng Li's Course Materials for Statistical Computing
A notebook exploring various Bayesian inference techniques and the algorithms behind them. Includes conjugate priors, Markov chain monte carlo (mcmc), and variational inference (vi)
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