Results 21 to 30 of about 21,260,567 (325)

Layout graph model for semantic façade reconstruction using laser point clouds

open access: yesGeo-spatial Information Science, 2021
Building façades can feature different patterns depending on the architectural style, functionality, and size of the buildings; therefore, reconstructing these façades can be complicated.
Hongchao Fan, Yuefeng Wang, Jianya Gong
doaj   +1 more source

The Spacey Random Walk: A Stochastic Process for Higher-Order Data [PDF]

open access: yesSIAM Review, 2016
Random walks are a fundamental model in applied mathematics and are a common example of a Markov chain. The limiting stationary distribution of the Markov chain represents the fraction of the time spent in each state during the stochastic process.
Austin R. Benson   +2 more
semanticscholar   +1 more source

Phase Coherence Induced by Additive Gaussian and Non-gaussian Noise in Excitable Networks With Application to Burst Suppression-Like Brain Signals

open access: yesFrontiers in Applied Mathematics and Statistics, 2020
It is well-known that additive noise affects the stability of non-linear systems. Using a network composed of two interacting populations, detailed stochastic and non-linear analysis demonstrates that increasing the intensity of iid additive noise ...
Axel Hutt   +3 more
doaj   +1 more source

Brownian Super-exponents [PDF]

open access: yes, 2006
We introduce a transform on the class of stochastic exponentials for d-dimensional Brownian motions. Each stochastic exponential generates another stochastic exponential under the transform.
Goodman, Victor
core   +4 more sources

Active Learning Strategy for Surrogate-Based Quantile Estimation of Field Function

open access: yesApplied Sciences, 2022
Uncertainty quantification is widely used in engineering domains to provide confidence measures on complex systems. It often requires to accurately estimate extreme statistics on computationally intensive black-box models.
Loïc Brevault   +2 more
doaj   +1 more source

Conditional PASTA [PDF]

open access: yes, 1988
Let Y be a stochastic process representing the state of a system and N a doubly stochastic Poisson process whose intensity varies with the state of a random environment represented by a stochastic process X.
Doorn, Erik A. van, Regterschot, G.J.K.
core   +3 more sources

A Fractional Order Recovery SIR Model from a Stochastic Process [PDF]

open access: yesBulletin of Mathematical Biology, 2015
Over the past several decades, there has been a proliferation of epidemiological models with ordinary derivatives replaced by fractional derivatives in an ad hoc manner.
C. Angstmann   +2 more
semanticscholar   +1 more source

Sufficient stochastic maximum principle for the optimal control of semi-Markov modulated jump-diffusion with application to Financial optimization [PDF]

open access: yes, 2014
The finite state semi-Markov process is a generalization over the Markov chain in which the sojourn time distribution is any general distribution. In this article we provide a sufficient stochastic maximum principle for the optimal control of a semi ...
Deshpande, Amogh
core   +2 more sources

Tensor-network approaches to counting statistics for the current in a boundary-driven diffusive system

open access: yesNew Journal of Physics, 2022
We apply tensor networks to counting statistics for the stochastic particle transport in an out-of-equilibrium diffusive system. This system is composed of a one-dimensional channel in contact with two particle reservoirs at the ends.
Jiayin Gu, Fan Zhang
doaj   +1 more source

The Stationary Behaviour of Fluid Limits of Reversible Processes is Concentrated on Stationary Points [PDF]

open access: yes, 2012
Assume that a stochastic processes can be approximated, when some scale parameter gets large, by a fluid limit (also called "mean field limit", or "hydrodynamic limit").
Boudec, Jean-Yves Le
core   +4 more sources

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