Asymptotic expansion of the minimum covariance determinant estimators. - Eric A. Cator; Hendrik P. Lopuhaä (J. Multivar. Anal., 2010)

A Decision Support Tool for Strategic Engine Maintenance Planning and Life Limited Parts. - Adel A. Ghobbar; Eric A. Cator; Angel F. Mayordomo (CE, 2012)

Attractiveness of Brownian queues in tandem. - Eric A. Cator; Sergio I. López; Leandro P. R. Pimentel (Queueing Syst. Theory Appl., 2019)

Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles. - Erwin de Gelder; Eric Cator; Jan-Pieter Paardekooper; Olaf Op den Camp; Bart De Schutter (IV Workshops, 2021)

Confident Neural Network Regression with Bootstrapped Deep Ensembles. - Laurens Sluijterman; Eric Cator; Tom Heskes (CoRR, 2022)

Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles. - Erwin de Gelder; Jasper Hof; Eric Cator; Jan-Pieter Paardekooper; Olaf Op den Camp; Jeroen Ploeg; Bart De Schutter (IEEE Trans. Intell. Transp. Syst., 2022)

The SIS process on Erdös-Rényi graphs: determining the infected fraction. - O. S. Awolude; Eric Cator; H. Don (CoRR, 2024)

Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball Loss. - Laurens Sluijterman; Frank Kreuwel; Eric Cator; Tom Heskes (CoRR, 2024)

Optimal training of Mean Variance Estimation neural networks. - Laurens Sluijterman; Eric Cator; Tom Heskes (Neurocomputing, 2024)

How to evaluate uncertainty estimates in machine learning for regression? - Laurens Sluijterman; Eric Cator; Tom Heskes (Neural Networks, 2024)

Likelihood-ratio-based confidence intervals for neural networks. - Laurens Sluijterman; Eric Cator; Tom Heskes (Mach. Learn., 2025)