3 papers
stat.ME2020
A sufficient condition for penalized polynomial regression to be invariant to translations of the predictor variables
J W R Martini
Whereas translating the coding of predictor variables does not change the fit of a polynomial least squares regression, penalized polynomial regressions are potentially affected. A…
q-bio.BM2019
Cooperativity, Absolute Interaction, and Algebraic Optimization
Nidhi Kaihnsa, Yue Ren, Mohab Safey El Din +1
We consider a measure of cooperativity based on the minimal absolute interaction required to generate an observed titration behavior. We describe the corresponding algebraic optimi…
stat.ME2018
Lost in translation: On the impact of data coding on penalized regression with interactions
Johannes W R Martini, Francisco Rosales, Ngoc-Thuy Ha +3
Penalized regression approaches are standard tools in quantitative genetics. It is known that the fit of an \emph{ordinary least squares} (OLS) regression is independent of certain…