Statistical analysis and visualization of state transition phenomena

C++ header-only library for the full family of Xoshiro/Xoroshiro random number generators

Share Market Prediction App using Markov Chains Model

Continuous Time Markov Chain

Application of Markov Chain in Finance

Scripts supporting the Open Risk Academy course Analysis of Credit Migration using Python TransitionMatrix

A Markov-chain based supermarket simulation.

We have 4 different display advertising campaigns. We would like to evaluate how effective each advertising campaign is in generating sales

NPM package to easily create and use Markov chains

The transition matrix of a Markov chain is a square matrix that describes the probability of transitioning from one state to another.

Experimenting with the transition state matrix approach to credit default modeling.

Simulates the movement of players around the board for a game of US Standard 2008 Edition Monopoly, using a Markov process, in order to model the likelihood of landing on each tile.

Computing and styling transition matrices with Python: a real-world application on Fortune Global 500

WeatherChance is an open-source application that can predict whether the tomorrows weather of particular queried location/city will be good or bad. Good weather is essentially defined as sunny and less cloudly and bad weather is defined as rainy, snowy etc.

Reinforcement Learning Using Q-learning, Double Q-learning, and Dyna-Q.

Analysis of robust classification algorithms for overcoming class-dependant labelling noise: Forward, Importance Reweighting and T-revision. We demonstrate methods for estimating the transition matrix in order to obtain better classifier performance when working with noisy data.

Transition system and state machine generic classes can be instantiated with any enumeration types representing the sets of states and the input and output alphabets

Modeling and visualization of the movement of supermarket visitors based on real customer data.

Word suggestion based on the Markov Chain model

Create sparse transition matrices given state-space vectors, mean, variance