This repository contains Python functions for predicting time series.

General-purpose library for fitting models to data with correlated Gaussian-distributed noise

This repository presents a novel approach developed by Prof. Patrick Cheridito and myself for computing conditional expectations with numerical guarantees.

Computation of training set (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm (2024).