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stat.ME2025
Bayesian Level Set Clustering
David Buch, Miheer Dewaskar, David B. Dunson
Classically, Bayesian clustering interprets each component of a mixture model as a cluster. The inferred clustering posterior is highly sensitive to any inaccuracies in the kernel…
stat.ME2024
Robustifying likelihoods by optimistically re-weighting data
Miheer Dewaskar, Christopher Tosh, Jeremias Knoblauch +1
Likelihood-based inferences have been remarkably successful in wide-spanning application areas. However, even after due diligence in selecting a good model for the data at hand, th…
stat.ME2024
Finding Groups of Cross-Correlated Features in Bi-View Data
Miheer Dewaskar, John Palowitch, Mark He +2
Datasets in which measurements of two (or more) types are obtained from a common set of samples arise in many scientific applications. A common problem in the exploratory analysis…