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== Thomas Pinder ==
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Bayesian ML, Causal Inference, and JAX


Bayesian Synthetic Control

A NumPyro implementation of Bayesian Synthetic Control Methods.

Bayesian Estimation Supersedes the T-Test in NumPyro

A NumPyro implementation of Bayesian estimation supersedes the t-test.

Variational Inference by Implementation

A gentle introduction to variational inference applied to Bayesian logistic regressions with accompanying PyTorch implementation.

Proper Scoring Rules

A short post on scoring rules and their connection to a divergence metric.

Variational Inference from Scratch

Let’s derive the evidence lower bound used in variational inference using Jensen’s inequality and the Kullback-Leibler divergence.

Gaussian processes with Jax in 80 lines

A GP implementation using Jax that shows kernel computation, conditioning of Gaussian distributions, parameter transformations, and gradient-based optimisation.

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