3 papers
math.ST2026
Moving Least Squares without Quasi-Uniformity: A Stochastic Approach
Shir Tapiro-Moshe, Yariv Aizenbud, Barak Sober
Local Polynomial Regression (LPR) and Moving Least Squares (MLS) are closely related nonparametric estimation methods, developed independently in statistics and approximation theor…
q-bio.PE2026
SDSR: A Spectral Divide-and-Conquer Approach for Species Tree Reconstruction
Ortal Reshef, Ofer Glassman, Or Zuk +3
Recovering a tree that represents the evolutionary history of a group of species is a key task in phylogenetics. Performing this task using sequence data from multiple genetic mark…
math.ST2025
Estimation of Local Geometric Structure on Manifolds from Noisy Data
Yariv Aizenbud, Barak Sober
A common observation in data-driven applications is that high-dimensional data have a low intrinsic dimension, at least locally. In this work, we consider the problem of point esti…