Dave Osthus

According to our database, Dave Osthus authored at least 14 papers between 2017 and 2022.

Collaborative distances:

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

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