A collection of MCMC methods in Python using Numpy and Scipy
-
Updated
Jul 1, 2023 - Python
A collection of MCMC methods in Python using Numpy and Scipy
Ising Model Simulation & lab report with applications to epidemiology. COVID-19 is a case study.
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.
732A64 Master Project
Here, I tried to learn some Markov chain Monte Carlo methods.
Personal Website with Blogposts, Achievements and Ideas
A Bayesian approach to the modeling COVID19 spread based on the Gompertz equation applied to the confirmed cases and fatalities by country.
Predicting property prices in Melbourne, using Bayesian MultiRegression and Markov Chain Monte Carlo Simulations.
My FSharp Advent 2020 submission related to conducting Bayesian Inference in F#
Differentiable Probabilistic Models
This repository provides a package that allows the implementation of Conditional Particle Filter easily. Conditional Particle Filter can be viewed as an MCMC method with invariant distribution as the smoothing distribution of a partially observed diffusion model.
Creating plots illustrating the SED of PKS 1510-089 for the Treball Fin de Master at Universitat Autonoma de Barcelona to complete the master degree in HEP, Astrophysics and Cosmology at IFAE.
This module is an efficient and flexible implementation of various Sequential Monte Carlo (SMC) methods. Bayesian updates occur for both latent states and model parameters using joint inference.
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
Material for a workshop on NIMBLE
Repostory containing a classical simulator of the first version of the Quantum-enhanced MCMC optimization algorithm.
Forward kinematic modeling of disk galaxies in MaNGA via parallel-tempered MCMC
Hand-made R Functions Mainly for Statistical Data Analysis
Local-Global MCMC kernels: the best of both worlds (NeurIPS 2022)
Sample R code from homework problems in STATS 102C at UCLA, Intro to Monte Carlo Methods.
Add a description, image, and links to the mcmc-methods topic page so that developers can more easily learn about it.
To associate your repository with the mcmc-methods topic, visit your repo's landing page and select "manage topics."