Repository that contains a set of functions for bnlearn package discrete models: multi-variable prediction and evaluation metrics

Bayesian optimisation of prophet temperature model parameters with daily and yearly seasonalities plus extra regressors

Excel

A multivariate and spatio-temporal stochastic weather generator in R

Multivariate Outcome Treatment Effect Random Forest

Python implementation of an extension of the Kolmogorov-Smirnov test for multivariate samples

Multivariate Unimodality Testing

Multivariate stock price prediction using LSTM networks with Optuna hyperparameter tuning and Captum interpretability. Trains on 60-day sliding windows across 442 companies to forecast next-day prices and visualize feature/time-step importance.

An Implementation of Genetic Algorithm Multivariables in MATLAB

This is an implementation of different optimization algorithms such as: - Gradient Descent (stochastic - mini-batch - batch) - Momentum - NAG - Adagrad - RMS-prop - BFGS - Adam Also, most of them are implemented in vectorized form for multi-variate problems

Multivariate Statistics Tutorials

Handwritten notes + future test set

Multivariate statistical techniques applied to automovile dataset.

This repository contains the files necessary for symbolically calculating multivariate power expansions.

Functions for Wishart distributions, including sampling from the inverse Wishart and sampling from the Cholesky factorization of a Wishart.

Two-Dimensional Data Whitening and Receiver Operational Characteristic Determination

US University admissions data has been analysed using multivariate techniques

A repository of our work for the Data Science Competition held by Gelar Rasa, UPN Veteran Jawa Timur 2025

Jax based probability modelling