monte-carlo-markov-chain

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

My assignemt solutions for CMSC764:Numerical Optimization course offererd by the University of Maryland

HPC-parallelized Bayesian Parametric Slip Inversion (PSI)

HPC-parallelized Bayesian Inversion for Near-surface Imaging (NEOPSY)

Gaussian Process Regression (GPR) with non-Gaussian likelihoods using robust infinite-dimension Monte Carlo Markov Chain (MCMC) sampling for spatial inference problems

For investigating alloys

Investigating the efficacy of diagnostic kits used for parasitic disease surveillance in the Philippines.

MCMC algorithms to sample random bipartite graphs with given left and right degree sequences and BJDM.

Using the Ising Model and a Monte-Carlo Markov Chain Approach to Illustrate Magnetic Phase Transition

Options analytics an AI agent can drive and a person can read. Sixteen Greeks, seventeen structures, dealer positioning, GARCH-t simulation, backtests, local dashboard. Skills, commands, agents and MCP for Claude Code, Codex and ChatGPT. Research software, not investment advice. Noncommercial licence.

Repository containing projects and assignments from 'Introduction to Graphical Models and Deep Learning' Course taken at BGU

Code to estimate the mass of a galaxy cluster with weak lensing using Monte Carlo Markov Chains (MCMC).

Implémentation d'algorithmes simples de Data Science

Predict heart disease risk with a Flask web app using a Decision Tree model and simple medical input data

[NUS Course Project] My solution for NUS course project Digital Signal Processing: Pattern recognition with MATLAB.