Results 21 to 30 of about 942,754 (267)
Random Measures with Aftereffects
A class of $\mathscr{D}$ of random measures, generalizing the class of completely random measures, is developed and shown to contain the class of Poisson cluster point processes. An integral representation is obtained for $\mathscr{D}$, generalizing the Levy-Ito representation for processes with independent increments. A subclass $\mathscr{D}_n \subset
Ammann, Larry P., Thall, Peter F.
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In this paper, we present the derivation of Jeffreys divergence, generalized Fisher divergence, and the corresponding De Bruijn identities for space–time random field.
Jiaxing Zhang
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Completely random measures [PDF]
Abstract It has also the very special property that the random summands on the right of (8.2) are independent random variables. This suggests the concept of a completely random measure on S. This is a random function ct> from the collection of measurable subsets of S into [O, oo] such that, for any collection of disjoint ...
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Background Multiple-period parallel group randomized trials (GRTs) analyzed with linear mixed models can represent time in mean models as continuous or categorical.
Jonathan C. Moyer +2 more
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Parametric and Non Parametric measures to compare Fixed and random effects of malt barley genotypes
AMMI analysis of 21 malt barley genotypes evaluated at nine locations of north western plains zone revealed highly significant variation due to environments (61.8%), G x E interactions (19.5%) and genotypes (8.2%).
Ajay Verma*, RPS Verma, J. Singh , Lokendra Kumar and Gyanendra Pratap Singh
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On the security of random linear measurements
In this paper, we analyze the security of compressed sensing (CS) as a cryptosystem. We demonstrate that random linear measurements acquired using a Gaussian i.i.d. matrix reveal only the energy of the sensed signal, and that only the energy of the measurements leaks information about the signal.
BIANCHI, TIZIANO +2 more
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On Simulation of the Young Measures – Comparison of Random-Number Generators
"Young measure" is an abstract notion from mathematical measure theory. Originally, the notion appeared in the context of some variational problems related to the analysis of sequences of “fast” oscillating of functions.
Andrzej Z. Grzybowski, Piotr Puchała
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A Levy random measure is characterized by a conditional independence structure analogous to the Markov property. Here we introduce Levy random measures and present their basic properties. Preservation of the Levy property under transformations of random measures (e.g., change of variable, passage to a limit) and under transformations of the probability
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Measure, randomness and sublocales
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Characterizations of Lifetime Distributions Using Two Relative Reliability Measures
In this paper, a general characterization property considering two new dynamic relative reliability measures is obtained. The new dynamic relative reliability measures are expressed as the ratio of hazard rates and as the ratio of reversed hazard rates ...
Ghadah Alomani, Mohamed Kayid
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