Sample from synthetic covariate shift problem

Recursos sobre manejo de la incertidumbre y probabilidad por un agente inteligente, módulo de Modelos de Inteligencia Artificial

Homeworks on "Computational Statistics" course

implement sampling methods

Acceptance-Rejection sampling with examples in R and Python

Artificial Intelligence Projects - Sharif University of Technology - Fall 2020

Poker test for independence, Inversion method, Method of approximations, Rejection method, Quadratic congruent random number generator, Freedman–Diaconis rule, Fixation Index, Extended Haplotype Homozygosity, Wright-Fisher model

We implement the Schnorr proof system in assembler via the Jasmin toolchain, and prove the security (proof-of-knowledge and zero-knowledge) and the absence of leakage through timing side-channels of that implementation in EasyCrypt.

Implementation of self-organizing maps for mesh generation

Implementation of Prior, Rejection, Likelihood and Gibbs Sampling

Acceptance and rejection method

python implementation for rejection sampling and importance sampling

A Bayesian network calculator for both exact (enumeration) and approximate inference (rejection sampling, likelihood weighting).

The programming part for the second assignment of the course DSC 531 - Statistical Simulations and Data Analysis of the University of Cyprus MSc in Data Science programme

MATLAB code to generate pairwise, uncorrelated encounters

Monte Carlo Penalty Selection for graphical lasso

Implementation for bayesian network

A C++ and WPF implementation of Computer-Graphics-Principles And Practice by JOHN F. HUGHES, ANDRIES VAN DAM, MORGAN MCGUIRE, DAVID F. SKLAR, JAMES D. FOLEY, STEVEN K. FEINER and KURT AKELEY

Some implementations of partial rejection samplers

Monte is a set of Monte Carlo methods in Python. The package is written to be flexible, clear to understand and encompass variety of Monte Carlo methods.