mschauer/Schauder.jl
A graphical perspective on Gauss-Markov process priors and fast sparse Cholesky for hierarchically structured (generalized arrow) matrices
Code accompanying the paper Frank van der Meulen, Moritz Schauer: Bayesian estimation of discretely observed multi-dimensional diffusion processes using guided proposals
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A graphical perspective on Gauss-Markov process priors and fast sparse Cholesky for hierarchically structured (generalized arrow) matrices
Julia's generic FixedSizeArray implementation. Can be used for all kinds of Vector constructs
Random matrices package for Julia
Metadata for registered Julia packages.