Results 11 to 20 of about 15,562 (261)
A note on conditional expectation for Markov kernels [PDF]
9 pages, 1 ...
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Martin Kernels for Markov Processes with Jumps [PDF]
We prove existence of boundary limits of ratios of positive harmonic functions for a wide class of Markov processes with jumps and irregular domains, in the context of general metric measure spaces. As a corollary, we prove uniqueness of the Martin kernel at each boundary point, that is, we identify the Martin boundary with the topological boundary. We
Kwaśnicki, Mateusz, Juszczyszyn, Tomasz
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Kernel-based Hidden Markov Conditional Densities
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Jan G. De Gooijer +2 more
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Derivatives of Markov Kernels and Their Jordan Decomposition [PDF]
Let \((P_\vartheta)_{\vartheta \in \Theta}\) be a parametric family of Markov kernels from a measurable space \((X, \mathcal{X})\) to a locally compact space \(Y\). The family \((P_\vartheta)_{\vartheta \in \Theta}\) is called weakly differentiable at \(\vartheta\) if for any \(x \in X\) there is a finite signed Baire measure \(P'_\vartheta(x, .)\) on \
Heidergott, B.F. +2 more
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This paper constructs a green development efficiency index framework of water-energy-food in China, and uses the Super-EBM model to measure it more accurately and scientifically.
Jinqiu Li, Dechun Huang
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A probabilistic model for fast-to-evaluate 2D crack path prediction in heterogeneous materials [PDF]
This paper is devoted to the construction of a new fast-to-evaluate model for the prediction of 2D crack paths in concrete-like microstructures. The model generates piecewise linear cracks paths with segmentation points selected using a Markov chain ...
Kathleen Pele +6 more
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Fuzzy Observables: from Weak Markov Kernels to Markov Kernels
AbstractWe provide a proof based on transfinite induction that every weak Markov kernel is equivalent to a Markov kernel. We only assume the space where the weak Markov kernel is defined to be second countable and metrizable. That generalizes some previous results where the kernel is required to be defined on a standard Borel space (which is second ...
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Asymptotics of Markov Kernels and the Tail Chain [PDF]
An asymptotic model for the extreme behavior of certain Markov chains is the ‘tail chain’. Generally taking the form of a multiplicative random walk, it is useful in deriving extremal characteristics, such as point process limits. We place this model in a more general context, formulated in terms of extreme value theory for transition kernels, and ...
Resnick, Sidney I., Zeber, David
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The Hypergroup Property and Representation of Markov Kernels [PDF]
For a given orthonormal basis $(f_n)$ on a probability measure space, we want to describe all Markov operators which have the $f_n$ as eigenvectors. We introduce for that what we call the hypergroup property. We study this property in three different cases.
Bakry, Dominique, Huet, Nolwen
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