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Biostatistics Seminar – Online Multiple Hypothesis Testing
Dr. Ramdas’ main theoretical and methodological research interests include selective and simultaneous inference, sequential uncertainty quantification, and distribution-free black-box predictive inference. His areas of applied interest include neuroscience, genetics and voting. He is one of the organizers of the amazing and diverse StatML Group at Carnegie Mellon University: http://statml.cs.cmu.edu/people.html
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