Overview
Brian D. Marx is a statistician (Department of Experimental Statistics, Louisiana State University), known for penalized-spline methods and their application to high-dimensional and signal regression.
Key Contributions / Features
- P-splines (Eilers-Marx 1996): with Eilers, penalized B-spline smoothing via a difference penalty on coefficients.
- Penalized signal regression and multidimensional penalized smoothing; co-author (with Eilers) of expository work on P-splines.
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