📝 Simulation Based Inference
An introduction to likelihood-free inference: what it is, why you’d use it, and how the four main approaches (NLE, NPE, NJE, NRE) work.
Statistics
📝 Bayesian Statistics Primer
An introduction to Bayesian thinking: priors, likelihoods, posteriors, and why it matters for science.
📝 Linear Regression Primer
A ground-up walkthrough of linear regression — the math, the geometry, and the assumptions that matter.
📄 The Intrinsic Scatter of Galaxy Scaling Relations
A Bayesian hierarchical analysis of the intrinsic scatter in late-type galaxy scaling relations, separating measurement error from genuine physical scatter and constraining galaxy formation models.