Geodesic
Recent advances on the semi-parametric estimation of the long-range dependence coefficient
Jean-Marc Bardet1 ; Éric Moulines2 ; Philippe Soulier3
1Université Paul Sabatier Toulouse III, Laboratoire de Statistiques et de Probabilités, 118 route de Narbonne, 31004 Toulouse Cedex, France
2ENST/TSI & CNRS, URA 820, GdR ISIS, 46, rue Barrault, 75 634 Paris Cedex 13, France
3Université d'Evry Val d'Essonne, Laboratoire de Mathématiques et d'Informatique, 91025 Evry Cedex, France
ESAIM. Proceedings, Tome 5 (1998), pp. 29-41
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Semi-parametric estimation of the long-range dependence parameter was a subject of major interest in recent years. The purpose of this paper is to put in a common framework several recent contributions of that topic. We will focus in particular on spectral methods, which consist in estimating the exponent of the singularity of the spectral density function at zero frequency and on time-domain methods, which are based on the estimation on the rate of convergence to zero of the autocovariance coefficients and/or on the scaling of the variance of processes deduced from the original process by generalized aggregation.
DOI : 10.1051/proc:1998010

Jean-Marc Bardet  1   ; Éric Moulines  2   ; Philippe Soulier  3

1 Université Paul Sabatier Toulouse III, Laboratoire de Statistiques et de Probabilités, 118 route de Narbonne, 31004 Toulouse Cedex, France
2 ENST/TSI & CNRS, URA 820, GdR ISIS, 46, rue Barrault, 75 634 Paris Cedex 13, France
3 Université d'Evry Val d'Essonne, Laboratoire de Mathématiques et d'Informatique, 91025 Evry Cedex, France 
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     author = {Jean-Marc Bardet and \'Eric Moulines and Philippe Soulier},
     title = {Recent advances on the semi-parametric estimation of the long-range dependence coefficient},
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Jean-Marc Bardet; Éric Moulines; Philippe Soulier. Recent advances on the semi-parametric estimation of the long-range dependence coefficient. ESAIM. Proceedings, Tome 5 (1998), pp. 29-41. doi: 10.1051/proc:1998010

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