# Local Asymptotic Normality Property for Lacunar Wavelet Series multifractal model*

Jean-Michel Loubes; Davy Paindaveine

ESAIM: Probability and Statistics (2012)

- Volume: 15, page 69-82
- ISSN: 1292-8100

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topLoubes, Jean-Michel, and Paindaveine, Davy. "Local Asymptotic Normality Property for Lacunar Wavelet Series multifractal model*." ESAIM: Probability and Statistics 15 (2012): 69-82. <http://eudml.org/doc/222462>.

@article{Loubes2012,

abstract = {
We consider a lacunar wavelet series function observed with an additive Brownian motion. Such functions are statistically characterized by two
parameters. The first parameter governs the lacunarity of the wavelet
coefficients while the second one governs its intensity. In this paper,
we establish the local and asymptotic normality (LAN) of the model, with respect to this couple of parameters. This enables to prove the optimality of an estimator for the lacunarity parameter, and to build optimal (in the Le Cam sense) tests on the intensity parameter.
},

author = {Loubes, Jean-Michel, Paindaveine, Davy},

journal = {ESAIM: Probability and Statistics},

keywords = {Local asymptotic normality; lacunar wavelet series; local asymptotic normality},

language = {eng},

month = {1},

pages = {69-82},

publisher = {EDP Sciences},

title = {Local Asymptotic Normality Property for Lacunar Wavelet Series multifractal model*},

url = {http://eudml.org/doc/222462},

volume = {15},

year = {2012},

}

TY - JOUR

AU - Loubes, Jean-Michel

AU - Paindaveine, Davy

TI - Local Asymptotic Normality Property for Lacunar Wavelet Series multifractal model*

JO - ESAIM: Probability and Statistics

DA - 2012/1//

PB - EDP Sciences

VL - 15

SP - 69

EP - 82

AB -
We consider a lacunar wavelet series function observed with an additive Brownian motion. Such functions are statistically characterized by two
parameters. The first parameter governs the lacunarity of the wavelet
coefficients while the second one governs its intensity. In this paper,
we establish the local and asymptotic normality (LAN) of the model, with respect to this couple of parameters. This enables to prove the optimality of an estimator for the lacunarity parameter, and to build optimal (in the Le Cam sense) tests on the intensity parameter.

LA - eng

KW - Local asymptotic normality; lacunar wavelet series; local asymptotic normality

UR - http://eudml.org/doc/222462

ER -

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