Rebecca E. Morrison

16 papers A* 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Exact mean and covariance formulas after diagonal transformations of a multivariate normal. J. Multivar. Anal. Rebecca E. Morrison, Estelle L. Basor
2025	A*	`conf`	Learning Local Neighborhoods of Non-Gaussian Graphical Models. AAAI Sarah Liaw, Rebecca E. Morrison, Youssef M. Marzouk, Ricardo Baptista
2025	J	`jnl`	Learning local neighborhoods of non-Gaussian graphical models: A measure transport approach. CoRR Sarah Liaw, Rebecca E. Morrison, Youssef Marzouk, Ricardo Baptista
2024	J	`jnl`	Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport. J. Mach. Learn. Res. Ricardo Baptista, Rebecca E. Morrison, Olivier Zahm, Youssef M. Marzouk
2022	J	`jnl`	ARBO: Arbovirus modeling and uncertainty quantification toolbox. Softw. Impacts Michel Tosin, Eber Dantas, Americo Cunha Jr., Rebecca E. Morrison
2022	J	`jnl`	Diagonal nonlinear transformations preserve structure in covariance and precision matrices. J. Multivar. Anal. Rebecca E. Morrison, Ricardo Baptista, Estelle L. Basor
2021	J	`jnl`	Exact Reduction of the Generalized Lotka-Volterra Equations via Integral and Algebraic Substitutions. Comput. Rebecca E. Morrison
2021	J	`jnl`	Learning non-Gaussian graphical models via Hessian scores and triangular transport. CoRR Ricardo Baptista, Youssef M. Marzouk, Rebecca E. Morrison, Olivier Zahm
2020	J	`jnl`	Data-Driven Corrections of Partial Lotka-Volterra Models. Entropy Rebecca E. Morrison
2020	J	`jnl`	Embedded model discrepancy: A case study of Zika modeling. CoRR Rebecca E. Morrison, Americo Cunha Jr.
2019	J	`jnl`	Embedded discrepancy operators in reduced models of interacting species. CoRR Rebecca E. Morrison
2018	J	`jnl`	Representing Model Inadequacy: A Stochastic Operator Approach. SIAM/ASA J. Uncertain. Quantification Rebecca E. Morrison, Todd A. Oliver, Robert D. Moser
2017	—	`conf`	Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting. NIPS Rebecca E. Morrison, Ricardo Baptista, Youssef M. Marzouk
2017	J	`jnl`	Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting. CoRR Rebecca E. Morrison, Ricardo Baptista, Youssef M. Marzouk
2016	J	`jnl`	Representing model inadequacy: A stochastic operator approach. CoRR Rebecca E. Morrison, Todd A. Oliver, Robert D. Moser
2013	J	`jnl`	Data partition methodology for validation of predictive models. Comput. Math. Appl. Rebecca E. Morrison, Corey M. Bryant, Gabriel Terejanu, Serge Prudhomme, Kenji Miki