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Hermine Biermé

Bio: Hermine Biermé is an academic researcher from University of Poitiers. The author has contributed to research in topics: Random field & Gaussian. The author has an hindex of 17, co-authored 54 publications receiving 883 citations. Previous affiliations of Hermine Biermé include Paris Descartes University & University of Orléans.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors present a moving average and a harmonizable representation of stable operator scaling random fields by utilizing E -homogeneous functions φ, satisfying φ ( c E x ) = c φ( x ).

153 citations

Journal Article
TL;DR: In this paper, a normalized sequence of random variables in some fixed Wiener chaos associated with a general Gaussian field is considered, and it is assumed that E(F 4 4 ) is a Gaussian distribution.
Abstract: Let fFn : n > 1g be a normalized sequence of random variables in some fixed Wiener chaos associated with a general Gaussian field, and assume that E(F 4

58 citations

Journal ArticleDOI
TL;DR: In this article, the authors studied generalized random fields which arise as rescaling limits of spatial configurations of uniformly scattered random balls as the mean radius of the balls tends to 0 or infinity and proved that the centered and renormalized random balls field admits a limit with self-similarity properties.
Abstract: We study generalized random fields which arise as rescaling limits of spatial configurations of uniformly scattered random balls as the mean radius of the balls tends to 0 or infinity. Assuming that the radius distribution has a power-law behavior, we prove that the centered and renormalized random balls field admits a limit with self-similarity properties. Our main result states that all self-similar, translation- and rotation-invariant Gaussian fields can be obtained through a unified zooming procedure starting from a random balls model. This approach has to be understood as a microscopic description of macroscopic properties. Under specific assumptions, we also get a Poisson-type asymptotic field. In addition to investigating stationarity and self-similarity properties, we give L2-representations of the asymptotic generalized random fields viewed as continuous random linear functionals.

58 citations

Journal ArticleDOI
TL;DR: In this article, the Hausdorff dimension of the inverse image X � 1 (F), where F ⊆ R d is a non-random Borel set.
Abstract: Let X = {X(t),t∈ R N } be a Gaussian random field with values in R d defined by X(t )= (X1(t),...,Xd(t)), where X1,...,Xd are independent copies of a centered Gaussian random field X0. Under certain general conditions on X0, we study the hitting probabilities of X and determine the Hausdorff dimension of the inverse image X �1 (F ), where F ⊆ R d is a nonrandom Borel set. The class of Gaussian random fields that satisfy our conditions includes not only fractional Brownian motion and the Brownian sheet, but also such anisotropic fields as fractional Brownian sheets, solutions to stochastic heat equation driven by space-time white noise and the operator-scaling Gaussian random fields with stationary increments constructed �

55 citations

Posted Content
TL;DR: In this article, the Breuer-Major central limit theorem was used to determine optimal rates of convergence in the case of chaotic random variables, with specific emphasis on fractional Gaussian noise, and it was shown that the deterministic sequence max(|E[F_n^3]|, E[Fn^4]-3] completely characterizes the rate of convergence.
Abstract: Let {F_n} be a normalized sequence of random variables in some fixed Wiener chaos associated with a general Gaussian field, and assume that E[F_n^4] --> E[N^4]=3, where N is a standard Gaussian random variable. Our main result is the following general bound: there exist two finite constants c,C>0 such that, for n sufficiently large, c max(|E[F_n^3]|, E[F_n^4]-3) < d(F_n,N) < C max(|E[F_n^3]|, E[F_n^4]-3), where d(F_n,N) = sup |E[h(F_n)] - E[h(N)]|, and h runs over the class of all real functions with a second derivative bounded by 1. This shows that the deterministic sequence max(|E[F_n^3]|, E[F_n^4]-3) completely characterizes the rate of convergence (with respect to smooth distances) in CLTs involving chaotic random variables. These results are used to determine optimal rates of convergence in the Breuer-Major central limit theorem, with specific emphasis on fractional Gaussian noise.

46 citations


Cited by
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Journal ArticleDOI
TL;DR: Convergence of Probability Measures as mentioned in this paper is a well-known convergence of probability measures. But it does not consider the relationship between probability measures and the probability distribution of probabilities.
Abstract: Convergence of Probability Measures. By P. Billingsley. Chichester, Sussex, Wiley, 1968. xii, 253 p. 9 1/4“. 117s.

5,689 citations

Book
01 Jan 2013
TL;DR: In this paper, the authors consider the distributional properties of Levy processes and propose a potential theory for Levy processes, which is based on the Wiener-Hopf factorization.
Abstract: Preface to the revised edition Remarks on notation 1. Basic examples 2. Characterization and existence 3. Stable processes and their extensions 4. The Levy-Ito decomposition of sample functions 5. Distributional properties of Levy processes 6. Subordination and density transformation 7. Recurrence and transience 8. Potential theory for Levy processes 9. Wiener-Hopf factorizations 10. More distributional properties Supplement Solutions to exercises References and author index Subject index.

1,957 citations

Book ChapterDOI
15 Feb 2011

1,876 citations

01 Jan 2016
TL;DR: The methods of modern mathematical physics is universally compatible with any devices to read and is available in the digital library an online access to it is set as public so you can download it instantly.
Abstract: Thank you very much for reading methods of modern mathematical physics. Maybe you have knowledge that, people have look numerous times for their favorite novels like this methods of modern mathematical physics, but end up in harmful downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they are facing with some infectious virus inside their desktop computer. methods of modern mathematical physics is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection saves in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the methods of modern mathematical physics is universally compatible with any devices to read.

1,536 citations