Technical Reports

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

MCMC parameter space sampling via Metropolis-Hastings

Bayesian maximum likelihood of a Black Sholes stochastic scenario generator.

Markov Chain Monte Carlo algorithms.

Gerador de valores de uma distribuição de probabilidade bidimensional. Via algoritmo de Metropolis-Hastings.

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

732A64 Master Project

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

metropolis-hastings random walk with PySpark

Hand-made R Functions Mainly for Statistical Data Analysis

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

metropolis markov chain monte carlo algorithm

Lennard Jones system optimization using the Metropolis Hastings and Simulated Annealing algorithms.

Deploying a 5G Network in a country

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

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

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