Dave Osthus

According to our database, Dave Osthus authored at least 18 papers between 2017 and 2025.

Collaborative distances:

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

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

Challenges of COVID-19 Case Forecasting in the US, 2020-2021.

Velma K. Lopez, Estee Y. Cramer, Robert Pagano, John M. Drake, Eamon B. O'Dea, Madeline Adee, Turgay Ayer, Jagpreet Chhatwal, Ozden O. Dalgic, Mary A. Ladd, Benjamin P. Linas, Peter P. Mueller, Jade Xiao, Johannes Bracher, Alvaro J. Castro Rivadeneira, Aaron Gerding, Tilmann Gneiting, Yuxin Huang, Dasuni Jayawardena, Abdul H. Kanji, Khoa Le, Anja Mühlemann, Jarad Niemi, Evan L. Ray, Ariane Stark, Yijin Wang, Nutcha Wattanachit, Martha W. Zorn, Sen Pei, Jeffrey Shaman, Teresa K. Yamana, Samuel R. Tarasewicz, Daniel J. Wilson, Sid Baccam, Heidi Gurung, Steve Stage, Brad Suchoski, Lei Gao, Zhiling Gu, Myungjin Kim, Xinyi Li, Guannan Wang, Lily Wang, Yueying Wang, Shan Yu, Lauren Gardner, Sonia Jindal, Maximilian Marshall, Kristen Nixon, Juan Dent, Alison L. Hill, Joshua Kaminsky, Elizabeth C. Lee, Joseph Chadi Lemaitre, Justin Lessler, Claire P. Smith, Shaun Truelove, Matt Kinsey, Luke C. Mullany, Kaitlin Rainwater-Lovett, Lauren Shin, Katharine Tallaksen, Shelby Wilson, Dean Karlen, Lauren A. Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Jiang Bian, Wei Cao, Zhifeng Gao, Juan M. Lavista Ferres, Chaozhuo Li, Tie-Yan Liu, Xing Xie, Shun Zhang, Shun Zheng, Matteo Chinazzi, Jessica T. Davis, Kunpeng Mu, Ana L. Pastore y Piontti, Alessandro Vespignani, Xinyue Xiong, Robert Walraven, Jinghui Chen, Quanquan Gu, Lingxiao Wang, Pan Xu, Weitong Zhang, Difan Zou, Graham Casey Gibson, Daniel Sheldon, Ajitesh Srivastava, Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav V. Marathe, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Lijing Wang, Pragati V. Prasad, Jo W. Walker, Alexander E. Webber, Rachel B. Slayton, Matthew Biggerstaff, Nicholas G. Reich, Michael A. Johansson

PLoS Comput. Biol., 2024

2022

Analyzing count data with measurement error.

Michael S. Hamada, Emily M. Casleton, Dave Osthus, Brian P. Weaver, Stefan H. Steiner

Qual. Reliab. Eng. Int., 2022

Fast and accurate influenza forecasting in the United States with Inferno.

Dave Osthus

PLoS Comput. Biol., 2022

Addressing delayed case reporting in infectious disease forecast modeling.

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

PLoS Comput. Biol., 2022

2021

Improving probabilistic infectious disease forecasting through coherence.

Graham Casey Gibson, Kelly R. Moran, Nicholas G. Reich, Dave Osthus

PLoS Comput. Biol., 2021

2020

A Probabilistic Clustering Approach for Identifying Primary Subnetworks of Discrete Fracture Networks with Quantified Uncertainty.

Dave Osthus, Jeffrey D. Hyman, Satish Karra, Nishant Panda, Gowri Srinivasan

SIAM/ASA J. Uncertain. Quantification, 2020

Mesoscale informed parameter estimation through machine learning: A case-study in fracture modeling.

Nishant Panda, Dave Osthus, Gowri Srinivasan, Daniel O'Malley, Viet T. Chau, Diane Oyen, Humberto Godinez

J. Comput. Phys., 2020

2019

Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S.

Nicholas G. Reich, Craig J. McGowan, Teresa K. Yamana, Abhinav Tushar, Evan L. Ray, Dave Osthus, Sasikiran Kandula, Logan C. Brooks, Willow Crawford-Crudell, Graham Casey Gibson, Evan Moore, Rebecca Silva, Matthew Biggerstaff, Michael A. Johansson, Roni Rosenfeld, Jeffrey Shaman

PLoS Comput. Biol., 2019

Estimating influenza incidence using search query deceptiveness and generalized ridge regression.

Reid Priedhorsky, Ashlynn R. Daughton, Martha Barnard, Fiona O'Connell, Dave Osthus

PLoS Comput. Biol., 2019

Even a good influenza forecasting model can benefit from internet-based nowcasts, but those benefits are limited.

Dave Osthus, Ashlynn R. Daughton, Reid Priedhorsky

PLoS Comput. Biol., 2019

Prediction Uncertainties beyond the Range of Experience: A Case Study in Inertial Confinement Fusion Implosion Experiments.

Dave Osthus, Scott A. Vander Wiel, Nelson M. Hoffman, Frederick J. Wysocki

SIAM/ASA J. Uncertain. Quantification, 2019

A tale of four cities: exploring the soul of State College, Detroit, Milledgeville and Biloxi.

Karsten Maurer, Dave Osthus, Adam Loy

Comput. Stat., 2019

2018

Identifying Backbones in Three-Dimensional Discrete Fracture Networks: A Bipartite Graph-Based Approach.

Jeffrey D. Hyman, Aric A. Hagberg, Dave Osthus, Shriram Srinivasan, Hari S. Viswanathan, Gowri Srinivasan

Multiscale Model. Simul., 2018

2017

Deceptiveness of internet data for disease surveillance.

Reid Priedhorsky, Dave Osthus, Ashlynn R. Daughton, Kelly R. Moran, Aron Culotta

CoRR, 2017

Measuring Global Disease with Wikipedia: Success, Failure, and a Research Agenda.

Reid Priedhorsky, Dave Osthus, Ashlynn R. Daughton, Kelly R. Moran, Nicholas Generous, Geoffrey Fairchild, Alina Deshpande, Sara Y. Del Valle

Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017