2 papers
stat.ME2025
Valid and efficient possibilistic structure learning in Gaussian linear regression
Ryan Martin, Naomi Singer, Jonathan Williams
A crucial step in fitting a regression model to data is determining the model's structure, i.e., the subset of explanatory variables to be included. However, the uncertainty in thi…
astro-ph.IM2024
Conformal Prediction for Astronomy Data with Measurement Error
Naomi Giertych, Jonathan P Williams, Sujit Ghosh
Astronomers often deal with data where the covariates and the dependent variable are measured with heteroscedastic non-Gaussian error. For instance, while TESS and Kepler datasets…