Results 11 to 20 of about 16,277 (238)
Transportation inequalities for Markov kernels and their applications [PDF]
38 pages.
Baudoin, Fabrice, Eldredge, Nathaniel
openaire +4 more sources
A note on conditional expectation for Markov kernels [PDF]
9 pages, 1 ...
openaire +2 more sources
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
openaire +2 more sources
Kernel-based Hidden Markov Conditional Densities
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jan G. De Gooijer +2 more
openaire +3 more sources
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
openaire +5 more sources
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
doaj +1 more source
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
doaj +1 more source
KVLMM: A Trajectory Prediction Method Based on a Variable-Order Markov Model With Kernel Smoothing
With the dramatic proliferation of global positioning system (GPS) devices, a rich range of research has been conducted on the analysis of GPS trajectories.
Xing Wang +3 more
doaj +1 more source
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
openaire +3 more sources

