Results 261 to 270 of about 3,859,005 (290)
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HAIRS FOR THE COMPLEX EXPONENTIAL FAMILY
International Journal of Bifurcation and Chaos, 1999In this paper we consider both the dynamical and parameter planes for the complex exponential family Eλ(z)=λez where the parameter λ is complex. We show that there are infinitely many curves or "hairs" in the dynamical plane that contain points whose orbits under Eλ tend to infinity and hence are in the Julia set.
Bodelón, Clara +5 more
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The Exponential Projection Filter and the Selection of the Exponential Family
1996We present the projection filter, an approximate finite-dimensional filter based on the differential geometric approach to statistics. We recall the definition of the projection filter in the case of exponential families, and we give some hints about the selection of the coefficients in the exponential family.
Brigo, Damiano +2 more
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Exponential Families and Game Dynamics
Canadian Journal of Mathematics, 1982A symmetric game consists of a set of pure strategies indexed by {0, …, n} and a real payoff matrix (aij). When two players choose strategies i and j the payoffs are aij and aji to the i-player and j-player respectively. In classical game theory of Von Neumann and Morgenstern [16] the payoffs are measured in units of utility, i.e., desirability, or in
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Laplace Exponential Family PCA
2018Considering numerous types of data, this paper discusses application of PCA to exponential family distributions. Reviewing the probabilistic basis of PCA, we propose a model using Laplace approximation, which was widely used in classification context, Laplace exponential family PCA (LePCA).
Fangqi Li 0001, Xudie Ren
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2012
Exponential families of distributions are parametric dominated families in which the logarithm of probability densities take a simple bilinear form (bilinear in the parameter and a statistic). As a consequence of that special form, sampling models in those families admit a finite-dimensional sufficient statistic irrespective of the sample size, and ...
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Exponential families of distributions are parametric dominated families in which the logarithm of probability densities take a simple bilinear form (bilinear in the parameter and a statistic). As a consequence of that special form, sampling models in those families admit a finite-dimensional sufficient statistic irrespective of the sample size, and ...
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The shifted exponential-G family of distributions : Properties and applications
Journal of Statistics and Management Systems, 2022Joseph Thomas Eghwerido
exaly
An Alternate Generalized Odd Generalized Exponential Family with Applications to Premium Data
Symmetry, 2021Amani Alahmadi +2 more
exaly
A review of family caregiving intervention trials in oncology
Ca-A Cancer Journal for Clinicians, 2017Elaine Wittenberg
exaly
-exponential fitting for distributions of family names
Physica A: Statistical Mechanics and Its Applications, 2008Hiroaki S Yamada
exaly

