There are 1 repository under covariance-matrix-estimation topic.
An R package for assumption-lean covariance matrix estimation in high dimensions
Code for extended LBP operators and geometric-based feature descriptors in ACIIDS2016
This code tests the basic idea of my Master thesis. I propose an improved estimator of the covariance matrix of asset returns, employed in the computation of the minimum-variance portfolio. The main.py script tests the out-of-sample performance of this estimator, which is shown to deliver much better results than the sample covariance matrix and the equally-weighted portfolio.
Cleaned repository focusing on running RascalC library for semi-analytical galaxy 2-point correlation function covariance matrices