Dave Osthus

19 papers A 1Journal 18
YearRankTypeTitle / Venue / Authors
2025 J jnl
Monotonic warpings for additive and deep Gaussian processes.
Stat. Comput.
Steven D. Barnett, Lauren J. Beesley, Annie S. Booth, Robert B. Gramacy, Dave Osthus
2025 J jnl
Synthetic method of analogues for emerging infectious disease forecasting.
PLoS Comput. Biol.
Alexander C. Murph, Graham Casey Gibson, Elizabeth B. Amona, Lauren J. Beesley, Lauren A. Castro, Sara Y. Del Valle, Dave Osthus
2024 J jnl
Challenges of COVID-19 Case Forecasting in the US, 2020-2021.
PLoS Comput. Biol.
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
2024 J jnl
Towards Improved Heliosphere Sky Map Estimation with Theseus.
Technometrics
Dave Osthus, Brian P. Weaver, Lauren J. Beesley, Kelly R. Moran, Madeline A. Stricklin, Eric J. Zirnstein, Paul H. Janzen, Daniel B. Reisenfeld
2022 J jnl
Addressing delayed case reporting in infectious disease forecast modeling.
PLoS Comput. Biol.
Lauren J. Beesley, Dave Osthus, Sara Y. Del Valle
2022 J jnl
Analyzing count data with measurement error.
Qual. Reliab. Eng. Int.
Michael S. Hamada, Emily M. Casleton, Dave Osthus, Brian P. Weaver, Stefan H. Steiner
2022 J jnl
Fast and accurate influenza forecasting in the United States with Inferno.
PLoS Comput. Biol.
Dave Osthus
2021 J jnl
Improving probabilistic infectious disease forecasting through coherence.
PLoS Comput. Biol.
Graham Casey Gibson, Kelly R. Moran, Nicholas G. Reich, Dave Osthus
2020 J jnl
A Probabilistic Clustering Approach for Identifying Primary Subnetworks of Discrete Fracture Networks with Quantified Uncertainty.
SIAM/ASA J. Uncertain. Quantification
Dave Osthus, Jeffrey D. Hyman, Satish Karra, Nishant Panda, Gowri Srinivasan
2020 J jnl
Mesoscale informed parameter estimation through machine learning: A case-study in fracture modeling.
J. Comput. Phys.
Nishant Panda, Dave Osthus, Gowri Srinivasan, Daniel O'Malley, Viet T. Chau, Diane Oyen, Humberto Godinez
2019 J jnl
A tale of four cities: exploring the soul of State College, Detroit, Milledgeville and Biloxi.
Comput. Stat.
Karsten Maurer, Dave Osthus, Adam Loy
2019 J jnl
Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S.
PLoS Comput. Biol.
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
2019 J jnl
Estimating influenza incidence using search query deceptiveness and generalized ridge regression.
CoRR
Reid Priedhorsky, Ashlynn R. Daughton, Martha Barnard, Fiona O'Connell, Dave Osthus
2019 J jnl
Estimating influenza incidence using search query deceptiveness and generalized ridge regression.
PLoS Comput. Biol.
Reid Priedhorsky, Ashlynn R. Daughton, Martha Barnard, Fiona O'Connell, Dave Osthus
2019 J jnl
Even a good influenza forecasting model can benefit from internet-based nowcasts, but those benefits are limited.
PLoS Comput. Biol.
Dave Osthus, Ashlynn R. Daughton, Reid Priedhorsky
2019 J jnl
Prediction Uncertainties beyond the Range of Experience: A Case Study in Inertial Confinement Fusion Implosion Experiments.
SIAM/ASA J. Uncertain. Quantification
Dave Osthus, Scott A. Vander Wiel, Nelson M. Hoffman, Frederick J. Wysocki
2018 J jnl
Identifying Backbones in Three-Dimensional Discrete Fracture Networks: A Bipartite Graph-Based Approach.
Multiscale Model. Simul.
Jeffrey D. Hyman, Aric A. Hagberg, Dave Osthus, Shriram Srinivasan, Hari S. Viswanathan, Gowri Srinivasan
2017 J jnl
Deceptiveness of internet data for disease surveillance.
CoRR
Reid Priedhorsky, Dave Osthus, Ashlynn R. Daughton, Kelly R. Moran, Aron Culotta
2017 A conf
Measuring Global Disease with Wikipedia: Success, Failure, and a Research Agenda.
CSCW
Reid Priedhorsky, Dave Osthus, Ashlynn R. Daughton, Kelly R. Moran, Nicholas Generous, Geoffrey Fairchild, Alina Deshpande, Sara Y. Del Valle