Lauren J. Beesley

According to our database, Lauren J. Beesley authored at least 7 papers between 2021 and 2026.

Collaborative distances:

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

2026

Transfer Learning using 66 Diseases for Disease Forecasting Applications.

Lauren J. Beesley, Alexander C. Murph, Dave Osthus, Lauren A. Castro

CoRR, May, 2026

2025

Monotonic warpings for additive and deep Gaussian processes.

Steven D. Barnett, Lauren J. Beesley, Annie S. Booth, Robert B. Gramacy, Dave Osthus

Stat. Comput., June, 2025

Synthetic method of analogues for emerging infectious disease forecasting.

Alexander C. Murph, Graham Casey Gibson, Elizabeth B. Amona, Lauren J. Beesley, Lauren A. Castro, Sara Y. Del Valle, Dave Osthus

PLoS Comput. Biol., 2025

2024

Towards Improved Heliosphere Sky Map Estimation with Theseus.

Dave Osthus, Brian P. Weaver, Lauren J. Beesley, Kelly R. Moran, Madeline A. Stricklin, Eric J. Zirnstein, Paul H. Janzen, Daniel B. Reisenfeld

Technometrics, April, 2024

2022

Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods.

Jiacong Du, Jonathan Boss, Peisong Han, Lauren J. Beesley, Michael Kleinsasser, Stephen A. Goutman, Stuart A. Batterman, Eva L. Feldman, Bhramar Mukherjee

J. Comput. Graph. Stat., October, 2022

Addressing delayed case reporting in infectious disease forecast modeling.

Lauren J. Beesley, Dave Osthus, Sara Y. Del Valle

PLoS Comput. Biol., 2022

2021

Phenotype risk scores (PheRS) for pancreatic cancer using time-stamped electronic health record data: Discovery and validation in two large biobanks.

Maxwell Salvatore, Lauren J. Beesley, Lars G. Fritsche, David A. Hanauer, Xu Shi, Alison M. Mondul, Celeste Leigh Pearce, Bhramar Mukherjee

J. Biomed. Informatics, 2021