theorashid

first outline of a kronecker spatiotemporal notebook

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## Pull request type Please check the type of change your PR introduces: - [ ] Bugfix - [ ] Feature - [ ] Code style update (formatting, renaming) -...

ENH: Adding INLA to PyMC step 1: get a Laplace Approximation

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### Before _No response_ ### After _No response_ ### Context for the issue: cc: @bwengals @athowes @junpenglao previous closed LA/INLA issues: https://github.com/pymc-devs/pymc/pull/4847 and https://github.com/pymc-devs/pymc/issues/3242 There are three steps to getting...

highlighting text

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Hi Priyansh, Thanks for this project, it was great to see someone distill the 100r.co site into template. I have a couple of issues specific to my project, but given...

Math not rendering correctly in pdf

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### Description Hi @eeholmes, I inserted a basic equation into the template Chapter 1. It renders fine on quarto equation preview in VSCode, but it does not render in the...

Still more to go here. Questions: - [ ] Do we need to edit any of the workflows following these changes? - [ ] Do we need the `.gitpod.yml` file?...

Adjoint method to find the gradient of the Laplace approximation/mode

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This is part of INLA roadmap #340. From the Stan [paper](https://arxiv.org/abs/2004.12550): >One of the main bottlenecks is differentiating the estimated mode, $\theta^* $. In theory, it is straightforward to apply...

Marginal Laplace approximation

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This is part of #340. We have a Laplace approximation, but we only want to use it on a subset of variables (the latent field). We want to use some...

Conjugate relationship marginalisation

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cc: @larryshamalama Implement conjugate relationships in PyMC via rewrites. Saves us working them out by hand. For starters: - [ ] Normal-Normal - [ ] Beta-Binomial - [ ] Gamma-Poisson...

Issue tracker for PyMC implementation of INLA

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This is for https://github.com/pymc-devs/pymc/issues/3242 and https://github.com/pymc-devs/pymc/issues/6992. cc: @ricardoV94 @zaxtax The first hackathon for this will be on **Friday 31st May**. But we plan to continue development on this beyond that...

Part of INLA roadmap https://github.com/pymc-devs/pymc-experimental/issues/340. We want to do the Laplace approximation around $\mu$. We need to find it first. ## Notes - jax [implementation](https://github.com/geraschenko/gmrfs/blob/main/gmrfs/inla.py#L108-L112) - GPy implementation (maybe [somewhere...