2 papers
astro-ph.IM2024
Six Maxims of Statistical Acumen for Astronomical Data Analysis
Hyungsuk Tak, Yang Chen, Vinay L. Kashyap +4
The production of complex astronomical data is accelerating, especially with newer telescopes producing ever more large-scale surveys. The increased quantity, complexity, and varie…
cs.LG2024
Sparse Variational Contaminated Noise Gaussian Process Regression with Applications in Geomagnetic Perturbations Forecasting
Daniel Iong, Matthew McAnear, Yuezhou Qu +3
Gaussian Processes (GP) have become popular machine-learning methods for kernel-based learning on datasets with complicated covariance structures. In this paper, we present a novel…