Tom Fearn

Overview

Tom Fearn is a statistician (University College London), specializing in chemometrics, near-infrared spectroscopy, and multivariate calibration.

Key Contributions / Features

• Multivariate Bayesian variable selection (Brown-Vannucci-Fearn 1998): with Brown and Vannucci, spike-and-slab wavelength selection for near-infrared calibration.
• Long-running methodological columns and work on chemometric calibration and NIR analysis.

Related

• Variable Selection
• Brown-Vannucci-Fearn (1998) Multivariate Bayesian Variable Selection and Prediction
• Brown-Fearn-Vannucci (1999) The Choice of Variables in Multivariate Regression
• Philip J. Brown