3 papers
stat.ML2025
A novel Information-Driven Strategy for Optimal Regression Assessment
Benjamín Castro, Camilo Ramírez, Sebastián Espinosa +3
In Machine Learning (ML), a regression algorithm aims to minimize a loss function based on data. An assessment method in this context seeks to quantify the discrepancy between the…
astro-ph.IM2023
Optimal photometry of point sources: Joint source flux and background determination on array detectors -- from theory to practical implementation
Mario L. Vicuña, Jorge F. Silva, Rene A. Mendez +3
In this paper we study the joint determination of source and background flux for point sources as observed by digital array detectors. We explicitly compute the two-dimensional Cra…
astro-ph.IM2018
Optimality of the Maximum Likelihood estimator in Astrometry
Sebastian Espinosa, Jorge F. Silva, Rene A. Mendez +2
The problem of astrometry is revisited from the perspective of analyzing the attainability of well-known performance limits (the Cramer-Rao bound) for the estimation of the relativ…