A Unifying Framework to Uncertainty Quantification of Polynomial Systems Subject to Aleatory and Epistemic Uncertainty. - Luis G. Crespo; Daniel P. Giesy; Sean P. Kenny (Reliab. Comput., 2012)

Interval predictor models with a formal characterization of uncertainty and reliability. - Luis G. Crespo; Daniel P. Giesy; Sean P. Kenny (CDC, 2014)

Special Edition on Uncertainty Quantification of the AIAA Journal of Aerospace Computing, Information, and Communication. - Luis G. Crespo; Sean P. Kenny (J. Aerosp. Inf. Syst., 2015)

A Scenario Optimization Approach to System Identification with Reliability Guarantees. - Luis G. Crespo; Daniel P. Giesy; Sean P. Kenny; Julio Deride (ACC, 2019)

On the quantification of aleatory and epistemic uncertainty using Sliced-Normal distributions. - Luis G. Crespo; Brendon K. Colbert; Sean P. Kenny; Daniel P. Giesy (Syst. Control. Lett., 2019)

A scenario optimization approach to reliability-based design. - Roberto Rocchetta; Luis G. Crespo; Sean P. Kenny (Reliab. Eng. Syst. Saf., 2020)

Robust Estimation of Sliced-Exponential Distributions⋆. - Luis G. Crespo; Brendon K. Colbert; Tanner Slager; Sean P. Kenny (CDC, 2021)

Interval Predictor Models for Robust System Identification*. - Luis G. Crespo; Sean P. Kenny; Brendon K. Colbert; Tanner Slagel (CDC, 2021)

Calibration of Radiation-Induced Cancer Risk Models According to Random Data. - Luis G. Crespo; Tony C. Slaba; Floriane A. Poignant; Sean P. Kenny (IPMU (2), 2022)

An Inverse Chance-Constrained Approach to the Calibration of Robust Models. - Luis G. Crespo; Sean P. Kenny (SMC, 2023)