Overview
Philip J. Brown is a statistician (University of Kent), known for Bayesian methods in multivariate calibration, chemometrics, and high-dimensional variable selection.
Key Contributions / Features
- Multivariate Bayesian variable selection (Brown-Vannucci-Fearn 1998): spike-and-slab selection for multivariate regression via a latent binary vector and conjugate marginalization, with near-infrared spectroscopy applications.
- Measurement, Regression, and Calibration (1993): a monograph on multivariate calibration.
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