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Synchronization in Probability of Reaction–Diffusion Neural Networks Under Stochastic Sampling Governed by Infinite Discrete Distributions

open access: yesMathematics
This paper generalizes stochastic sampled-data synchronization of reaction–diffusion neural networks (RDNNs) from sampling distributions with finite support to infinite discrete distributions, whose sampling intervals are drawn from a countably infinite ...
Deqiang Zeng
doaj   +1 more source

Multivariate Kalman filtering for spatio-temporal processes. [PDF]

open access: yesStoch Environ Res Risk Assess, 2022
Ferreira G, Mateu J, Porcu E.
europepmc   +1 more source

The Debiased Spatial Whittle likelihood. [PDF]

open access: yesJ R Stat Soc Series B Stat Methodol, 2022
Guillaumin AP   +3 more
europepmc   +1 more source

Two-sample statistics based on anisotropic kernels. [PDF]

open access: yesInf inference, 2020
Cheng X, Cloninger A, Coifman RR.
europepmc   +1 more source

Reducible KAM Tori for the Degasperis-Procesi Equation. [PDF]

open access: yesCommun Math Phys, 2020
Feola R, Giuliani F, Procesi M.
europepmc   +1 more source

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