Dan Simpson • 3/21/2022

Sparse Matrices 1: The linear algebra of linear mixed effects models and their generalisations

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The article details a project to implement efficient Bayesian inference for linear mixed models and related models (like GAMs) by leveraging sparse linear algebra techniques, inspired by the INLA method. The author discusses prototyping this in Python using JAX to overcome scalability challenges in MCMC frameworks like Stan.

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#Python #linear algebra #sparse matrices
Sparse Matrices 1: The linear algebra of linear mixed effects models and their generalisations

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