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Some aspects of Brownian motion
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ISBN: 376432807X 081762807X 3764357177 0817657177 Year: 1992 Publisher: Basel ; Boston : Birkhäuser,

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Brownian motion : fluctuations, dynamics, and applications
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ISBN: 9780198515678 0198515677 Year: 2002 Volume: 112 Publisher: Oxford : New York : Clarendon Press ; Oxford University Press,

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Cutting Brownian paths
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ISSN: 00659266 ISBN: 0821809687 Year: 1999 Publisher: Providence (R.I.): American Mathematical Society

Brownian motion and stochastic calculus
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ISBN: 0387965351 1468403044 1468403028 Year: 1988 Volume: 113 Publisher: New York : Springer-Verlag,

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A global view of Brownian penalisations
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ISBN: 9784931469525 4931469523 Year: 2009 Publisher: Tokyo : Mathematical Society of Japan,

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Brownian motion, martingales, and stochastic calculus
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ISBN: 9783319310886 Year: 2016 Publisher: [Cham] : Springer,

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Multifractional stochastic fields : wavelet strategies in multifractional frameworks
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ISBN: 9789814525657 Year: 2019 Publisher: New Jersey : World Scientific,

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"Fractional Brownian Motion (FBM) is a very classical continuous self-similar Gaussian field with stationary increments. In 1940, some works of Kolmogorov on turbulence led him to introduce this quite natural extension of Brownian Motion, which, in contrast with the latter, has correlated increments. However, the denomination FBM is due to a very famous article by Mandelbrot and Van Ness, published in 1968. Not only in it, but also in several of his following works, Mandelbrot emphasized the importance of FBM as a model in several applied areas, and thus he made it to be known by a wide community. Therefore, FBM has been studied by many authors, and used in a lot of applications. In spite of the fact that FBM is a very useful model, it does not always fit to real data. This is the reason why, for at least two decades, there has been an increasing interest in the construction of new classes of random models extending it, which offer more flexibility. Two paradigmatic examples of them are the class of Multifractional Fields and that of Anisotropic Fields. Multifractional means that fractal properties of models, typically, roughness of paths and self-similarity of probability distributions, are locally allowed to change from place to place; while Anisotropic means that they are allowed to change from one direction to another. In order to sharply determine path behavior of Multifractional and Anisotropic Fields, a wavelet strategy, which can be considered to be new in the probabilistic framework, has been developed since the end of the 90's. It is somehow inspired by some rather non-standard methods, related to the fine study of Brownian Motion roughness, through its representation in the Faber-Schauder system"


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On mesoscopic equilibrium for linear statistics in Dyson's Brownian Motion
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ISBN: 9781470429645 1470429640 Year: 2018 Publisher: Providence AMS

Essentials of Brownian motion and diffusion
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ISBN: 0821815180 Year: 1981 Volume: 18

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Boundary crossing of Brownian motion : its relation to the law of the iterated logarithm and to sequential analysis
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ISBN: 0387964339 1461565693 Year: 1986 Volume: 40 Publisher: Berlin,New York : Springer-Verlag,

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