Personal answers to a few chosen exercises in the book Monte Carlo Statistical Methods by Robert and Casella - For the "Computational Statistics" course by Christian Robert at ENSAE ParisTech
-
Updated
Dec 24, 2015 - R
Personal answers to a few chosen exercises in the book Monte Carlo Statistical Methods by Robert and Casella - For the "Computational Statistics" course by Christian Robert at ENSAE ParisTech
R package for simulation of continuous time Markov chains
This is a Markov Chain run in r that takes for its input a text file
Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation in R and Python
Factoried Personalized Markov Chains for Next Basket Recommendation in R and Python
This is a simple implementation of Markov chains to predict Stock Market Behaviour
Markov chain based Weather Pattern. Probability of drawing 3 balls 10,100 & 1000 times for randomly choosing black and Probability drawing 2 balls 10,100 & 1000 times for chosen random same color. An M/M/1 queue Poisson process. (Theory of Probability)
BigData-Project: Supermarket Basket Analysis with Markovchain, Aprioi, XGBoost and RNN; M. Sc. Business Intelligence and Process Management, BSEL Berlin, Germany
R Shiny app for tweet analysis
tweetbot imitating Hardwax's (inimitable) reviews
Application on Markov Chain and Removal Effect (Attribution Modeling)
This R code is an example of analyzing Clickstream Data using Markov Chains and data mining SPADE algorithm.
No-frills Metropolis sampler for Markov Chain Monte Carlo
R package to work with Markov Chain Steady-State probability vector.
Statistical models and proofs done for my Bayesian Statistics and Markov Chain/Monte Carlo class at Yale. Original problem statements and prompts available upon request!
R script to modelize a tennis match with Markov chains (games, tie-breaks, sets, match)
R package for constructing and evaluating Markov chains with cashflows that depend on the state of the underlying markov chain using Thiele difference type equations
I designed a naive shiny web application which is intended to take a string of words and predict the next possible word based on the probability of occurrence exploiting Markov chains.
Add a description, image, and links to the markov-chain topic page so that developers can more easily learn about it.
To associate your repository with the markov-chain topic, visit your repo's landing page and select "manage topics."