Rebecca E. Morrison

According to our database, Rebecca E. Morrison authored at least 13 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Learning local neighborhoods of non-Gaussian graphical models: A measure transport approach.

Sarah Liaw, Rebecca E. Morrison, Youssef Marzouk, Ricardo Baptista

CoRR, March, 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.

Sarah Liaw, Rebecca E. Morrison, Youssef M. Marzouk, Ricardo Baptista

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

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

2022

ARBO: Arbovirus modeling and uncertainty quantification toolbox.

Michel Tosin, Eber Dantas, Americo Cunha Jr., Rebecca E. Morrison

Softw. Impacts, 2022

Diagonal nonlinear transformations preserve structure in covariance and precision matrices.

Rebecca E. Morrison, Ricardo Baptista, Estelle L. Basor

J. Multivar. Anal., 2022

2021

Exact Reduction of the Generalized Lotka-Volterra Equations via Integral and Algebraic Substitutions.

Rebecca E. Morrison

Comput., 2021

2020

Data-Driven Corrections of Partial Lotka-Volterra Models.

Rebecca E. Morrison

Entropy, 2020

Embedded model discrepancy: A case study of Zika modeling.

Rebecca E. Morrison, Americo Cunha Jr.

CoRR, 2020

2019

Embedded discrepancy operators in reduced models of interacting species.

Rebecca E. Morrison

CoRR, 2019

2018

Representing Model Inadequacy: A Stochastic Operator Approach.

Rebecca E. Morrison, Todd A. Oliver, Robert D. Moser

SIAM/ASA J. Uncertain. Quantification, 2018

2017

Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting.

Rebecca E. Morrison, Ricardo Baptista, Youssef M. Marzouk

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2013

Data partition methodology for validation of predictive models.

Rebecca E. Morrison, Corey M. Bryant, Gabriel Terejanu, Serge Prudhomme, Kenji Miki

Comput. Math. Appl., 2013