Data partition methodology for validation of predictive models. - Rebecca E. Morrison; Corey M. Bryant; Gabriel Terejanu; Serge Prudhomme; Kenji Miki (Comput. Math. Appl., 2013)

Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting. - Rebecca E. Morrison; Ricardo Baptista; Youssef M. Marzouk (NIPS, 2017)

Representing Model Inadequacy: A Stochastic Operator Approach. - Rebecca E. Morrison; Todd A. Oliver; Robert D. Moser (SIAM/ASA J. Uncertain. Quantification, 2018)

Embedded discrepancy operators in reduced models of interacting species. - Rebecca E. Morrison (CoRR, 2019)

Embedded model discrepancy: A case study of Zika modeling. - Rebecca E. Morrison; Americo Cunha Jr. (CoRR, 2020)

Data-Driven Corrections of Partial Lotka-Volterra Models. - Rebecca E. Morrison (Entropy, 2020)

Exact Reduction of the Generalized Lotka-Volterra Equations via Integral and Algebraic Substitutions. - Rebecca E. Morrison (Comput., 2021)

Diagonal nonlinear transformations preserve structure in covariance and precision matrices. - Rebecca E. Morrison; Ricardo Baptista; Estelle L. Basor (J. Multivar. Anal., 2022)

ARBO: Arbovirus modeling and uncertainty quantification toolbox. - Michel Tosin; Eber Dantas; Americo Cunha Jr.; Rebecca E. Morrison (Softw. Impacts, 2022)

Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport. - Ricardo Baptista; Rebecca E. Morrison; Olivier Zahm; Youssef M. Marzouk (J. Mach. Learn. Res., 2024)

Learning Local Neighborhoods of Non-Gaussian Graphical Models. - Sarah Liaw; Rebecca E. Morrison; Youssef M. Marzouk; Ricardo Baptista (AAAI, 2025)

Exact mean and covariance formulas after diagonal transformations of a multivariate normal. - Rebecca E. Morrison; Estelle L. Basor (J. Multivar. Anal., 2025)

Learning local neighborhoods of non-Gaussian graphical models: A measure transport approach. - Sarah Liaw; Rebecca E. Morrison; Youssef Marzouk 001; Ricardo Baptista (CoRR, 2025)