Results 41 to 50 of about 1,408,791 (309)
Evolution of Cosmic Voids in the Schrödinger-Poisson Formalism
The Open Journal of Astrophysics, 2022 We investigate the evolution of cosmic voids in the Schrödinger-Poisson formalism, finding wave mechanical solutions for the dynamics in a standard cosmological background with appropriate boundary conditions.
Aoibhinn Gallagher, Peter Coles
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Data-Driven Markov Decision Process Approximations for Personalized Hypertension Treatment Planning
MDM Policy & Practice, 2016 Background: Markov decision process (MDP) models are powerful tools. They enable the derivation of optimal treatment policies but may incur long computational times and generate decision rules that are challenging to interpret by physicians.
Greggory J. Schell PhD +4 more
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Statistics of weighted Poisson events and its applications [PDF]
, 2013 The statistics of the sum of random weights where the number of weights is Poisson distributed has important applications in nuclear physics, particle physics and astrophysics.
Bohm, G., Zech, G.
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Probability Surveys, 2019 We overview results on the topic of Poisson approximation that are missed in existing surveys. The topic of Poisson approximation to the distribution of a sum of integer-valued random variables is presented as well. We do not restrict ourselves to a particular method, and overview the whole range of issues including the general limit theorem, estimates
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Power approximation of the transmission disequilibrium test
Lietuvos Matematikos Rinkinys, 2012 In this paper we apply Poisson distribution in order to approximate the power of the Transmission Disequilibrium Test (TDT). In this research we calculated the power of the TDT for different values of sample size n and different values of allele ...
Šarūnas Germanas +1 more
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Approximation of classes of Poisson integrals by Fejer sums [PDF]
Компьютерные исследования и моделирование, 2015 We obtain asymptotic formula for upper bounds of deviations of Fejer sums on classes of Poisson integrals. Under certain conditions, formula guarantee the solvability of the Kolmogorov-Nikolskiy problem for Fejer sums and classes of Poisson integrals.
Oleg Aleksandrovich Novikov +1 more
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Stein's method, Palm theory and Poisson process approximation
, 2004 The framework of Stein's method for Poisson process approximation is presented from the point of view of Palm theory, which is used to construct Stein identities and define local dependence.
Chen, Louis H. Y., Xia, Aihua
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Expectation Propagation for Poisson Data [PDF]
, 2019 The Poisson distribution arises naturally when dealing with data involving counts, and it has found many applications in inverse problems and imaging. In this work, we develop an approximate Bayesian inference technique based on expectation propagation ...
Arridge, Simon, Jin, Bangti, Zhang, Chen
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Compound Poisson process approximation
The Annals of Probability, 2002 Point processes on the metric space \(\Gamma\) are considered. On the basis of the metric \(d_0\) on \(\Gamma\) the metric \(d_1\) on the space \({\mathcal X}\) of all finite subsets of \(\Gamma\) is defined. On the basis of the metric \(d_1\) the distance \(d_2\) between two probability measures on \({\mathcal X}\) is defined. To estimate the distance
Barbour, A. D., Månsson, Marianne
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Mathematics, 2022 In addition to monitoring the Poisson mean rate with step shifts, increasing attention has been given to monitoring Poisson processes subject to linear trends.
Honghao Zhao +3 more
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