Now showing items 1-3 of 3

    • Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States. 

      Cramer, Estee Y; Ray, Evan L; Lopez, Velma K; Bracher, Johannes; Brennen, Andrea; Castro Rivadeneira, Alvaro J; Gerding, Aaron; ... (295 authors) (Proceedings of the National Academy of Sciences of the United States of America, 2022-04)
      Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general ...
    • Multichannel electrophysiological spike sorting via joint dictionary learning and mixture modeling 

      Carlson, David E; Vogelstein, Joshua T; Wu, Qisong; Lian, Wenzhao; Zhou, Mingyuan; Stoetzner, Colin R; Kipke, Daryl; ... (10 authors) (IEEE Transactions on Biomedical Engineering, 2014-01-01)
      We propose a methodology for joint feature learning and clustering of multichannel extracellular electrophysiological data, across multiple recording periods for action potential detection and classification (sorting). Our ...
    • Nonparametric Bayesian Dictionary Learning and Count and Mixture Modeling 

      Zhou, Mingyuan (2013)
      Analyzing the ever-increasing data of unprecedented scale, dimensionality, diversity, and complexity poses considerable challenges to conventional approaches of statistical modeling. Bayesian nonparametrics constitute a ...