Zobrazeno 1 - 10
of 6 710
pro vyhledávání: '"Miller Jeffrey"'
Autor:
Miller Jeffrey W.
Publikováno v:
Dependence Modeling, Vol 11, Iss 1, Pp 1158-1169 (2023)
This article establishes general conditions for posterior consistency of Bayesian finite mixture models with a prior on the number of components. That is, we provide sufficient conditions under which the posterior concentrates on neighborhoods of the
Externí odkaz:
https://doaj.org/article/a9cca99b43914c52901e079100d1323b
Autor:
Zito, Alessandro, Miller, Jeffrey W.
Non-negative matrix factorization (NMF) is widely used in many applications for dimensionality reduction. Inferring an appropriate number of factors for NMF is a challenging problem, and several approaches based on information criteria or sparsity-in
Externí odkaz:
http://arxiv.org/abs/2404.10974
Autor:
Melikechi, Omar, Miller, Jeffrey W.
Stability selection is a popular method for improving feature selection algorithms. One of its key attributes is that it provides theoretical upper bounds on the expected number of false positives, E(FP), enabling control of false positives in practi
Externí odkaz:
http://arxiv.org/abs/2403.15877
Autor:
Wojnowicz, Michael, Rath, Preetish, Miller, Eric, Miller, Jeffrey, Hancock, Clifford, O'Donovan, Meghan, Elkin-Frankston, Seth, Brunye, Thaddeus, Hughes, Michael C.
We seek to model a collection of time series arising from multiple entities interacting over the same time period. Recent work focused on modeling individual time series is inadequate for our intended applications, where collective system-level behav
Externí odkaz:
http://arxiv.org/abs/2401.14973
Under model misspecification, it is known that Bayesian posteriors often do not properly quantify uncertainty about true or pseudo-true parameters. Even more fundamentally, misspecification leads to a lack of reproducibility in the sense that the sam
Externí odkaz:
http://arxiv.org/abs/2311.02019
Principal variables analysis (PVA) is a technique for selecting a subset of variables that capture as much of the information in a dataset as possible. Existing approaches for PVA are based on the Pearson correlation matrix, which is not well-suited
Externí odkaz:
http://arxiv.org/abs/2309.13162
Autor:
Miller, Jeffrey, Raut, Nabin K., Zulevic, Demitrius, Hart, Harold, Martinez, Luis A., Castelli, Alessandro, Chiao, Raymond, Sharping, Jay E.
The levitation of a macroscopic object within a superconducting resonator provides a unique and novel platform to study optomechanics, quantum information, and gravitational wave detection. Existing mirror-method and single-loop models for calculatin
Externí odkaz:
http://arxiv.org/abs/2306.08662