Jul 01 0 Regularized Regression and Poststratification: Blending Data Science and Survey Methodology to Increase the Reproducibility of Population Genetics Research By Harrison |
Jun 30 0 Optimal Design of Data Assimilation for the Prediction of Hydrological Extremes By Harrison |
Jun 30 0 Probabilistic Modeling of Missing Data to Improve Predictions Using Metabolomics Data By Harrison |
Jun 29 0 Probabilistic Methods to Infer Structure and Dynamics of Illicit Wildlife Trade Networks By Harrison |
Jun 29 0 CHANGES: Collections, Heterogeneous data, and Next Generation Ecological Studies By Harrison |
Jun 29 0 Markovian And Non-Markovian (Discrete) Spatio-Temporal Processes with Active Decision Making Strategies For Addressing The COVID-19 Pandemic By walshjam |
Jun 29 0 From data to knowledge: Applying the principles of data science to understand preventable inequities in care and support among COVID-19 cases in Michigan By walshjam |
Jun 29 0 Handling Selective and Imperfect Testing in Design and Inference of COVID-19 Studies By walshjam |
Jun 26 0 High-resolution spatial analysis to inform the response to COVID-19 in Michigan By walshjam |
