Results 11 to 20 of about 881,344 (295)
Journal of Mathematics, 2023 This study investigates the estimation of the regression function using the kernel method in the presence of missing at random responses, assuming spatial dependence, and complete observation of the functional regressor.
Fatimah Alshahrani +4 more
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Machines, 2023 The problem of the prompt detection of early-stage hollow worn wheels in railway vehicles via on-board random vibration measurements under normal operation and varying speeds is investigated.
Nikolaos Kaliorakis +2 more
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Extreme Value Analysis for Mixture Models with Heavy-Tailed Impurity
Mathematics, 2021 This paper deals with the extreme value analysis for the triangular arrays which appear when some parameters of the mixture model vary as the number of observations grows.
Ekaterina Morozova, Vladimir Panov
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Stochastic volatility and stochastic leverage [PDF]
Annals of Finance, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Veraart, Almut, Veraart, Luitgard A. M.
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A Theory of Stochastic Harvesting in Stochastic Environments [PDF]
The American Naturalist, 2002 We investigate how model populations respond to stochastic harvesting in a stochastic environment. In particular, we show that the effects of variable harvesting on the variance in population density and yield depend critically on the autocorrelation of environmental noise and on whether the endogenous dynamics of the population display over- or ...
Jonzén, Niclas +2 more
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Stochastic Perron for Stochastic Target Problems [PDF]
Journal of Optimization Theory and Applications, 2016 In this paper, we adapt stochastic Perron's method to analyze a stochastic target problem with unbounded controls in a jump diffusion set-up. With this method, we construct a viscosity sub-solution and super-solution to the associated Hamiltonian-Jacobi-Bellman (HJB) equations.
Erhan Bayraktar, Jiaqi Li
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EURASIP Journal on Information Security, 2020 In recent years, classification techniques based on deep neural networks (DNN) were widely used in many fields such as computer vision, natural language processing, and self-driving cars. However, the vulnerability of the DNN-based classification systems
Olga Taran +3 more
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Comparison of three recent discrete stochastic inversion methods and influence of the prior choice
Comptes Rendus. Géoscience, 2022 Groundwater flow depends on subsurface heterogeneity, which often calls for categorical fields to represent different geological facies. The knowledge about subsurface is however limited and often provided indirectly by state variables, such as hydraulic
Juda, Przemysław +2 more
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Physical Review Letters, 2003 4 pages, 2 figures, submitting to ...
Ball, Robin +2 more
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Stability of hybrid stochastic retarded systems [PDF]
, 2008 -In the past few years, hybrid stochastic retarded systems (also known as stochastic retarded systems with Markovian switching), including hybrid stochastic delay systems, have been intensively studied. Among the key results, Mao et al.
Huang, Lirong, Deng, Feiqi, Mao, Xuerong
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