https://wamli.github.io/categories/bayesian-linear-regression/Recent content in Bayesian Linear Regression on HomeHugoen-US© 2026 Christoph BrewingSat, 16 May 2026 00:00:00 +0000https://wamli.github.io/blog/blr-sensor-calibration-series/Fri, 15 May 2026 00:00:00 +0000https://wamli.github.io/blog/blr-sensor-calibration-series/A comprehensive two-part series on building principled, uncertainty-quantified sensor calibration systems using Bayesian Linear Regression with Automatic Relevance Determination. Theory, implementation, and real-world patterns.https://wamli.github.io/blog/blr-and-ard/Fri, 15 May 2026 00:00:00 +0000https://wamli.github.io/blog/blr-and-ard/Bayesian Linear Regression with Automatic Relevance Determination combines principled uncertainty quantification, automatic feature selection, and a closed-form solution—all from one coherent mathematical framework. This post explains how and why.https://wamli.github.io/blog/blr-implementation-rust-faer/Fri, 15 May 2026 00:00:00 +0000https://wamli.github.io/blog/blr-implementation-rust-faer/The central theme is deceptively simple: never invert a matrix if you can avoid it. This post walks through the production Rust code that makes Bayesian Linear Regression with ARD efficient, numerically safe, and ready for embedded systems. Everything else follows from understanding why this principle matters.