Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

Julia package for fast flexible adaptive rejection sampling for log-concave univariate densities.

Some methods to sampling data points from a given distribution.

Adaptive Rejection Sampling for Python

Monte Carlo methods with TensorFlow

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.

Implementation of inference techniques like Variable Elimination and Rejection Sampling for Bayesian Networks. (CSL302 IIT Ropar)

MATLAB code to generate pairwise, uncorrelated encounters

Acceptance and rejection method

Monte Carlo Penalty Selection for graphical lasso

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 for bayesian network

python implementation for rejection sampling and importance sampling

Acceptance-Rejection sampling with examples in R and Python

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

Homeworks on "Computational Statistics" course

Sample from synthetic covariate shift problem