Browsing by Author "Zhou, Mingyuan"
Now showing items 1-3 of 3
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Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States.
(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
(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
(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 ...
