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Digital instrument simulator platform to support the development of noninvasive optical NIR device for placenta monitoring. [PDF]
J Biomed OptCaredda C +9 more
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The anticipation of imminent events is time-scale invariant. [PDF]
Proc Natl Acad Sci U S AGrabenhorst M, Poeppel D, Michalareas G.
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HBP-net for robust remote heart rate estimation using heartbeat probability. [PDF]
iScienceYe X +6 more
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Implied Probabilities in GMM Estimators
Econometrica, 1993The conventional way to estimate a distribution function is to assume it belongs to a class parameterized by a finite-dimensional vector and then estimate the unknown parameter vector. In many cases, e.g., regression models, part of the assumption is of the form: a given function of the data and of the parameter vector has a zero mean.
Back, Kerry, Brown, David P
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Estimating Multinomial Probabilities
The American Statistician, 1996Abstract Classical maximum likelihood (ML) as well as the uniformly minimum variance unbiased (UMVU) estimators of multinomial cell probabilities are given by the observed relative frequencies. Bayes estimators corresponding to symmetric Dirichlet prior distribution for p are the inflated observed relative cell frequencies of the type (ni + k) (M + kt)−
S. Kunte, K. S. Upadhya
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Structured estimation, II: Multivariate probability density estimation
IEEE Transactions on Information Theory, 1981We continue the research begun in 1975 on structured estimation. The original work in 1976 by Morgera and Cooper dealt with the Gaussian two-category classification problem when the common covariance matrix is unknown and must be estimated in order to approximate the hyperplane for decisionmaking, which is optimum for the true covariance matrix.
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