Results 141 to 150 of about 1,268 (179)
Enhanced long wavelength Mermin-Wagner-Hohenberg fluctuations in active crystals and glasses. [PDF]
Dey S, Bhattacharya A, Karmakar S.
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Diffusion Tensor Imaging (DTI) as a Non-Invasive Tool for Assessing Pediatric Kidney Transplants: A Feasibility Study. [PDF]
Serai SD +5 more
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Mixed sub-fractional Brownian motion [PDF]
Abstract A new extension of the sub-fractional Brownian motion, and thus of the Brownian motion, is introduced. It is a linear combination of a finite number of sub-fractional Brownian motions, that we have chosen to call the mixed sub-fractional Brownian motion.
Mounir Zili
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In this paper we study three self-similar, long-range dependence, Gaussian processes.
Anna Talarczyk, Tomasz Bojdecki
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Pricing geometric asian power options in the sub-fractional brownian motion environment
Chaos, Solitons and Fractals, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xiangxing Tao
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Mixed Sub-fractional Brownian Motion and Drift Estimation of Related Ornstein–Uhlenbeck Process [PDF]
In this paper, we will first give the numerical simulation of the sub-fractional Brownian motion through the relation of fractional Brownian motion instead of its representation of random walk. In order to verify the rationality of this simulation, we propose a practical estimator associated with the LSE of the drift parameter of mixed sub-fractional ...
Chunhao Cai, Weilin Xiao
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Some properties of the sub-fractional Brownian motion
Stochastics, 2007We study several properties of the sub-fractional Brownian motion (fBm) introduced by Bojdecki et al. related to those of the fBm. This process is a self-similar Gaussian process depending on a parameter H ∈ (0, 2) with non stationary increments and is a generalization of the Brownian motion (Bm).
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On the simulation of sub-fractional Brownian motion
2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR), 2015We present a method for numerical approximation of sample paths of the sub-fractional Brownian motion. Taking into account the main properties of the stochastic process, the main idea of this methods consists in the replacement of the process integral representation by a Riemann sum. We also give an estimate of an upper bound on the approximation error
Aneta Morozewicz, Darya V. Filatova
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On the Wiener integral with respect to a sub-fractional Brownian motion on an interval
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Stochastic integration with respect to the sub-fractional Brownian motion with
Statistics & Probability Letters, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shen, Guangjun, Chen, Chao
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