† (Co-)first author, otherwise listed first

Journal Articles (Peer-Reviewed)

  1. R. Morrison and E. Basor. Exact mean and covariance formulas after diagonal transformations of a multivariate normal. Journal of Multivariate Analysis, 105489, 2025.
  2. T. Price-Broncucia, A. Baker, D. Hammerling, M. Duda, and R. Morrison. The Ensemble Consistency Test: From CESM to MPAS and Beyond. Geoscientific Model Development, 18:2349–2372, 2025.
  3. S. Leventhal, S. Edie, R. Morrison, and C. Simpson. Origin of division of labor is decoupled from polymorphism in colonial animals. PNAS Nexus, 3(11):476, 2024. Smithsonian National Museum of Natural History Early Career Award for Sarah Leventhal.
  4. E. Basor and R. Morrison†. Analytic solutions to nonlinear ODEs via spectral power series. Linear Algebra and its Applications 697:561–582, 2024.
  5. R. Baptista†, R. Morrison†, O. Zahm, and Y. Marzouk. Learning non-Gaussian graphical models via Hessian scores and triangular transport. Journal of Machine Learning Research 25(85):1–46, 2024.
  6. R. Bandy and R. Morrison. Stochastic model corrections for reduced Lotka-Volterra models exhibiting mutual, competitive, and predatory interactions. Chaos: An Interdisciplinary Journal of Nonlinear Science 34(1):013116, 2024.
  7. R. Morrison, R. Baptista, and E. Basor. Diagonal nonlinear transformations preserve structure in covariance and precision matrices. Journal of Multivariate Analysis 190:104983, 2022.
  8. M. Tosin, E. Dantas, A. Cunha, and R. Morrison. ARBO: Arbovirus Modeling and Uncertainty Quantification Toolbox. Software Impacts 12:100252, 2022.
  9. R. Morrison. Exact reduction of the generalized Lotka-Volterra equations via integral and algebraic substitutions. Computation 9(5):49, 2021.
  10. R. Morrison. Data-driven corrections of partial Lotka-Volterra models. Entropy 22(11):1313, 2020.
  11. R. Morrison and A. Cunha. Embedded model discrepancy: A case study of Zika modeling. Chaos: An Interdisciplinary Journal of Nonlinear Science 30(5):051103, 2020.
  12. R. Morrison, T. Oliver, and R. Moser. Representing model inadequacy: A stochastic operator approach. SIAM/ASA Journal on Uncertainty Quantification 6(2):457–496, 2018.
  13. R. Morrison, C. Bryant, G. Terejanu, S. Prudhomme, and K. Miki. Data partition methodology for validation of predictive models. Computers and Mathematics with Applications 66(10):2114–2125, 2013.
  14. R. Morrison, A. Landsberg, and E. Friedman. Combinatorial games with a pass: A geometric approach. Chaos: An Interdisciplinary Journal of Nonlinear Science 21:043108, 2011.

Journal Articles — Accepted

  1. T. Price-Broncucia and R. Morrison. Ultra-Fast unscented Kalman inversion for the calibration of expensive chaotic models. SIAM Journal on Scientific Computing. (Accepted)

Journal Articles — In Review

  1. R. Bandy, E. Camporeale, A. Hu, T. Berger, and R. Morrison. Accurate and Reliable Uncertainty Estimates for Deterministic Predictions: Extensions to Under and Overpredictions. SIAM Journal on Uncertainty Quantification. (In review) arXiv
  2. R. Bandy, R. Morrison, E. Mussoni, and T. Portone. Hybrid physics-data enrichments to represent uncertainty: A case study of reduced gas-surface chemistry models for hypersonic flight. International Journal of Uncertainty Quantification. (In review) arXiv
  3. U. Shah, M. Lladser, and R. Morrison. Conditional independence estimates for the generalized nonparanormal. Journal of Machine Learning Research. (In review) arXiv

Preprints / In Preparation

  1. P. Marcy and R. Morrison. “Stochastic Inverse Problems” and changes-of-variables. arXiv

Peer-Reviewed Conference Papers

  1. R. Bandy, R. Washington, R. Morrison, and T. Portone. Isolating and quantifying uncertainties in the vibration isolation round-robin challenge. In Model Validation and Uncertainty Quantification, Vol. 3, pages 71–85. River Publishers, 2025.
  2. S. Liaw, R. Morrison, Y. Marzouk, and R. Baptista. Learning local neighborhoods of non-Gaussian graphical models: A measure transport approach. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 39, No. 18, 2025. (Acceptance rate: 23%) Extended version: arXiv
  3. T. Price-Broncucia, S. Amorese, R. Baptista, and R. Morrison. A probabilistic graphical model approach to interpret, verify, and decouple multi-physics systems. In 16th World Congress on Computational Mechanics (WCCM), 2024.
  4. R. Bandy, T. Portone, and R. Morrison. Stochastic model correction for the adaptive vibration isolation round-robin challenge. In Model Validation and Uncertainty Quantification (Proceedings of IMAC), pages 53–62. Springer Nature Switzerland, 2024.
  5. T. Price-Broncucia and R. Morrison. Ultra-short time batching and unscented Kalman inversion for calibration of expensive chaotic models. United States National Congress on Computational Mechanics, Albuquerque, NM, 2023. (No proceedings recorded.) UQ Student Paper Competition Semi-Finalist
  6. T. Price-Broncucia and R. Morrison. Multi-time unscented Kalman inversion for calibration of expensive chaotic models. In 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland, 2023. (Acceptance rate: 45%) CERRA Student Recognition Award
  7. R. Bandy and R. Morrison. Quantifying model form uncertainty in spring-mass-damper systems. In Model Validation and Uncertainty Quantification, Vol. 3 (Proceedings of the 41st IMAC), pages 9–19. Springer Nature Switzerland, 2023. Best Paper Award
  8. R. Morrison, R. Baptista, and Y. Marzouk. Beyond normality: Learning sparse probabilistic models in the non-Gaussian setting. Advances in Neural Information Processing Systems 30 (NeurIPS 2017), 11 pages. (Acceptance rate: 21%)
  9. R. Morrison, C. Bryant, G. Terejanu, K. Miki, and S. Prudhomme. Optimal data split methodology for model validation. In Proceedings of the World Congress on Engineering and Computer Science 2011, pages 1038–1043. (Acceptance rate: 53%) Best Student Paper Award

Theses

  1. PhD Dissertation: On the representation of model inadequacy: A stochastic operator approach. Advisor: Prof. Robert Moser, UT Austin, 2016
  2. Honors Senior Thesis: From geometry to perturbation theory in combinatorial games: A case study of the game of Nim with a pass. Advisor: Prof. Adam Landsberg, Scripps College, 2008

Software

  1. Nonparanormal covariance (examples). R. Morrison, June 2024.
  2. TransportMaps. D. Bigoni, A. Spantini, R. Morrison, R. Baptista, and Y. Marzouk. Transport Maps Software Documentation, 2015–2020.
  3. ARBO: Arbovirus Modeling and Uncertainty Quantification Toolbox. M. Tosin, E. Dantas, A. Cunha, and R. Morrison. ARBO Software Documentation, 2020–2024.
  4. Zika. R. Morrison. Initial release, 2020.
  5. Enriched-GLV. R. Morrison. Initial release, 2020.