Computation of training set (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm (2024).
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Updated
Feb 12, 2025 - Python
Computation of training set (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm (2024).
This repository contains Python functions for predicting time series.
This repository presents a novel approach developed by Prof. Patrick Cheridito and myself for computing conditional expectations with numerical guarantees.
General-purpose library for fitting models to data with correlated Gaussian-distributed noise
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