3 papers
stat.ME2025
Differential Equation-Constrained Local Regression for Data with Sparse Design
Chunlei Ge, W. John Braun
Local polynomial regression of order one or higher often performs poorly in areas with sparse data. In contrast, local constant regression tends to be more robust in these regions,…
stat.ME2025
On Data Sharpening in Nonparametric Autoregressive Models
Simon Snyman, Lengyi Han, W. John Braun
Data sharpening has been shown to reduce bias in nonparametric regression and density estimation. Its performance on nonlinear first order autoregressive models is studied theoreti…
q-bio.PE2025
The importance of exploration: Modelling site-constant foraging
Sarah A. MacQueen, Clara F. Hardy, W. John Braun +1
Foraging site constancy, or repeated return to the same foraging location, is a foraging strategy used by many species to decrease uncertainty, but it is often unclear exactly how…