Results 11 to 20 of about 1,125,987 (281)
Temperley Lieb stochastic processes [PDF]
Journal of Physics A: Mathematical and General, 2002 We discuss one-dimensional stochastic processes defined through the Temperley-Lieb algebra related to the Q=1 Potts model. For various boundary conditions, we formulate a conjecture relating the probability distribution which describes the stationary state, to the enumeration of a symmetry class of alternating sign matrices, objects that have received ...
Pearce, Paul A +3 more
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Modeling Long-Range Dynamic Correlations of Words in Written Texts with Hawkes Processes
Entropy, 2022 It has been clarified that words in written texts are classified into two groups called Type-I and Type-II words. The Type-I words are words that exhibit long-range dynamic correlations in written texts while the Type-II words do not show any type of ...
Hiroshi Ogura +3 more
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Layout graph model for semantic façade reconstruction using laser point clouds
Geo-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
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Stochastic processes in gravitropism [PDF]
Frontiers in Plant Science, 2014 In this short review we focus on the role of noise in gravitropism of plants - the reorientation of plants according to the direction of gravity. We briefly introduce the conventional picture of static gravisensing in cells specialized in sensing.
Meroz, Yasmine, Bastien, Renaud
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Frontiers 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
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Brownian Super-exponents [PDF]
, 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
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Active Learning Strategy for Surrogate-Based Quantile Estimation of Field Function
Applied 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
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The Revised Model State Administrative Procedure Act—Reform or Retrogression? [PDF]
, 1963 In this contribution, we deal with the deterministic dominance of the probability moments of stochastic processes. More precisely, given a positive stochastic process, we propose to dominate its probability moment sequence by the trajectory of ...
Bloomenthal, Harold S.
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New 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
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A uniform definition of stochastic process calculi [PDF]
, 2012 We introduce a unifying framework to provide the semantics of process algebras, including their quantitative variants useful for modeling quantitative aspects of behaviors.
De Nicola, Rocco +3 more
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