Antonio Aguirre Data Modeling | Bayesian Statistics | Machine Learning

Blog

Here I share notes on statistics and modeling, alongside short essays on the philosophy of science. I aim for clear explanations and practical takeaways for students, researchers, and anyone curious about data-driven methods.

Variational Bayes for Non-Conjugate Models: A Laplace-Delta Tutorial

A comprehensive guide to VB-LD for approximate Bayesian inference in non-conjugate models

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Statistical Computing: A tutorial for UCSC Graduate Students

Leveraging Hummingbird HPC for statistical research

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The Energy Score for Multivariate Normal Distributions

Closed-form expressions and special cases for the multivariate generalization of CRPS

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On Bayesian Methodology. Part 6/6

Final Comments

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On Bayesian Methodology. Part 5/6

Model Comparison

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On Bayesian Methodology. Part 4/6

Computational Challenges and Model Validation

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On Bayesian Methodology. Part 3/6

Simulations

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On Bayesian Methodology Part. 2/6

Before and While Fitting a Model

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On Bayesian Methodology. Part 1/6

A review on the modern Bayesian Methodology.

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