Markov Chain Monte Carlo MCMC methods are implemented in various languages (including R, Python, Julia, Matlab)
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Updated
Jun 20, 2023 - Python
Markov Chain Monte Carlo MCMC methods are implemented in various languages (including R, Python, Julia, Matlab)
Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for using JAGS with pyjags, the JAGS Wiener module, mixture modeling in JAGS, and Bayesian diagnostics in Python.
Modelled COVID-19 pandemic with a system of 9 first order differential equations. The system was fitted to the values of the pandemic in Italy, UK, India, Brazil and Sweden, and numerically solved using MCMC statistical methods in python’s lmfit module. Estimates of the real number of infected people and predictions for the future were then made.
This repository contains code, data, output, and figures associated with the A univariate extreme value analysis and change point detection of monthly discharge in Kali Kupang, Central Java, Indonesia manuscript
A collection of MCMC methods in Python using Numpy and Scipy
Use this to determine the optimal route to go on a search for shortage struck essential commodities (gasoline, water, toilet paper etc.) using information from social media
Running Monte Carlo - Markov Chain algorithm on synthesized spectral models made by CLOUDY to compare them with data from CECILIA survey
Forward kinematic modeling of disk galaxies in MaNGA via parallel-tempered MCMC
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