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Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
(Python, R, C) Fast approximations for the CDF of multivariate normal distributions
Owen's T Function Expected Value Generation
R program for a metropolis-hastings based MCMC sampler using a multivariate-normal proposal distribution.
Gibbs sampling and Cholesky factorization to simulate from Multivariate Normal distributions