Stochastic process

Known as: Random processes, Stochastic models, Random signal 
A stochastic (/stoʊˈkæstɪk/) process is a random process evolving with time. More specifically, in probability theory, a stochastic process is a time… (More)
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Papers overview

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Review
2016
Review
2016
Stochastic fluctuations of molecule numbers are ubiquitous in biological systems. Important examples include gene expression and… (More)
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Highly Cited
2012
Highly Cited
2012
Covering point process theory, random geometric graphs, and coverage processes, this rigorous introduction to stochastic geometry… (More)
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Highly Cited
2010
Highly Cited
2010
Stochastic actor-based models are models for network dynamics that can represent a wide variety of influences on network change… (More)
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Review
2005
Review
2005
Genetically identical cells exposed to the same environmental conditions can show significant variation in molecular content and… (More)
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Highly Cited
2004
Highly Cited
2004
The random waypoint model is a commonly used mobility model for simulations of wireless communication networks. By giving a… (More)
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Highly Cited
2002
Highly Cited
2002
We present a new method for solving stochastic differential equations based on Galerkin projections and extensions of Wiener’s… (More)
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Highly Cited
1998
Highly Cited
1998
1.1 Equivalent de nitions of a stable distribution : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 2 1… (More)
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Highly Cited
1998
Highly Cited
1998
The monitoring and control of any dynamic system depends crucially on the ability to reason about its current status and its… (More)
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Highly Cited
1998
Highly Cited
1998
Fluctuations in rates of gene expression can produce highly erratic time patterns of protein production in individual cells and… (More)
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Highly Cited
1997
Highly Cited
1997
With the aim of modelling key stylized features of observational series from finance and turbulence a number of stochastic… (More)
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