H
Herman Chernoff
Researcher at Harvard University
Publications - 89
Citations - 12851
Herman Chernoff is an academic researcher from Harvard University. The author has contributed to research in topics: Decision theory & Likelihood-ratio test. The author has an hindex of 36, co-authored 88 publications receiving 12277 citations. Previous affiliations of Herman Chernoff include Massachusetts Institute of Technology & University of California.
Papers
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Journal ArticleDOI
Effect on Classification Error of Random Permutations of Features in Representing Multivariate Data by Faces
Herman Chernoff,M. Haseeb Rizvi +1 more
TL;DR: An experiment is reported which estimates that the effect of a random permutation in the assignment of parameters may affect the error rate in a classification task using these faces by a factor of about 25 percent.
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Central Limit Theorems for Interchangeable Processes
TL;DR: It was shown by De Finetti (3) that the probability measure for any interchangeable process is a mixture of probability measures of processes each consisting of independent and identically distributed random variables.
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Gradient methods of maximization.
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Growth factor induced fibroblast differentiation from human bone marrow stromal cells in vitro
Jodie E. Moreau,Jingsong Chen,Diah S. Bramono,Vladimir Volloch,Herman Chernoff,Gordana Vunjak-Novakovic,John C. Richmond,David L. Kaplan,Gregory H. Altman +8 more
TL;DR: Specific media formulations and growth factor combinations were determined that support human bone marrow stromal cell differentiation toward fibroblast characteristics for utilization in tissue engineering, specifically cell morphology and alignment, metabolic activity, and abundant expression of collagen types I and III.
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Nonparametric Estimation of the Slope of a Truncated Regression
TL;DR: In this paper, a nonparametric estimate for the slope of a regression line subject to the truncation of the regression line is presented, which corresponds to the zero-crossing of a random function, which is a Mann-Whitney type of statistic designed to measure heterogeneity among the calculated residuals.