stats9/R_Fancy

In this repository, software applications in simulation and visualization for various applications are presented with interesting examples.

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open-source-modelling/Metropolis_Hastings_Black_Sholes_ESG

Bayesian maximum likelihood of a Black Sholes stochastic scenario generator.

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empobla/Inference-of-a-3D-Line Fork of empobla-school/IntroToMachineLearning-FinalProject

A demonstration of the Metropolis-Hastings MCMC algorithm that infers the parameters of a 3D line from noisy 2D images.

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Howuhh/MHRW

metropolis-hastings random walk with PySpark

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jhell96/MCMC-Metropolis-Hastings-Decryption

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DanShai/metropolis_mcmc

metropolis markov chain monte carlo algorithm

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jonathanwilsonami/Technical-Reports

Technical Reports

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rodolformelo/Metropolis-Hastings-Algorithm

In the first semester of my MSc. studies, we developed a phyton version of the Gibbs Sampler and Metropolis-Hastings Algorithm from the scratch. We described our results and analysis in a report.

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daniel-furman/lwMCMC

MCMC parameter space sampling via Metropolis-Hastings

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dimitramuni/GBN-Regime-in-Basketball

732A64 Master Project

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akokotis/mcmc-overview

An overview of Markov Chain Monte Carlo (MCMC) Metropolis Hastings, including code example

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hwchen2017/neural_network_quantum_state

Neural Network Quantum State

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Jsos17/Monte_Carlo

Various simple experiments with the Metropolis-Hastings algorithm and ordinary Monte Carlo methods. Personal project, autumn 2019.

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lorenzomancini1/IsingModel2D_MonteCarlo

Monte Carlo simulation of 2D Ising Model. Final project of the LoCP-A course during 2020/2021 at Unipd

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Tyler-Hecht/GEMS-TDA

Topological Data Analysis for Parameter Estimation of Noisy Biexponential Decay (UD GEMS research project)

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imshakib/Hosseini-Shakib_etal_2022_preprint

Performing a Sobol global sensitivity analysis on a flood risk model in Selinsgrove, PA

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salimandre/Markov-Random-Fields

Image denoising using Markov random fields.

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mowillia/DimerSelfAssembly

Companion Jupyter Notebook for "Self-Assembly of a Dimer System"

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riccardocadei/Metropolis-Hastings-for-optimization

Deploying a 5G Network in a country

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ptjahjadi/MCMC-Methods

This assignment aims to develop a Gibbs sampling and Metropolis Hastings Algorithm to sample from a specified probability distribution.

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Anguscgm/BRUG_BDMCMC

This is the repository for the C++ code of Bayesian Graphical Regression with Birth-Death Markov Process by Yuen et al.

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