continuous-time-markov-chain

🦜 DISCOTRESS 🦜 is a software package to simulate and analyse the dynamics on arbitrary Markov chains

Continuous Time Markov Chain

Some slides, code and videos about R, mostly for mathematical modellers

Modeling the co-evolution of viral spreading and structural stability in signed networks

This R package simulates data from a latent class CTMC model

Various scripts for analysis of the dynamics on Markov chains, and processing DISCOTRESS output

Computational tools for homological observability: analyze cycle histories, sampling thresholds and counter information in Markov jump processes.

Stochastic SIRD epidemic simulation using CTMC and Gillespie’s algorithm to analyse disease spread, extinction time and final outbreak size.

A lightweight Python library for turning stochastic-process mathematics, time-series methods, and state-space models into executable, validated, and testable objects

TF implementation of DDIM using continuous time reverse steps

Phase-type distribution fitting in R.

Dynamic server allocation for energy efficiency using stochastic modeling techniques

Comparison tools for stochastic reaction networks

🔁 Analysis of a system with three species in a competitive loop.