International audienceOn the basis of a poisson sampling, we estimate the spectral density of a continuous time process. Firstly, without considering sampling instants. Next, we take into account these instants, when they are known, they give rise to a" estimator (Masry and Lui 1976) which is restudied. The convergence speeds are provided in the two cases. The simulation of the processes permits us to calculate the studied estimators and to complete the theoretical study.Sur la base d'un échantillonnage poissonnien, nous estimons la densité spectrale d'un processus en temps continu. D'abord en se passant de la connaissance des instants d'échantillonnage ; ensuite, la prise en considération de ces instants, quand ils sont connus, donne lieu ...
International audienceWe consider a Poisson point process on R" of support {(x, y) 6 R2 : 0 < x < 1 ...
AbstractThis paper deals with issues pertaining to estimating the spectral density of a stationary h...
The work this thesis focuses on the choice of the smoothing parameter in the context of non-parametr...
International audienceFrom the study of the paper of Masry [1] of 1980, we propose an estimator of t...
Dans ce travail nous nous intéressons à l'estimation de la densité spectrale par la méthode du noyau...
Dans ce travail nous nous intéressons à l'estimation de la densité spectrale par la méthode du noyau...
International audienceWe extend to the continuous case the results of [l] , and we establish an ineq...
AbstractLet X = {X(t), − ∞ < t < ∞} be a continuous-time stationary process with spectral density fu...
International audienceFrom a wavelet analysis, one derives a nonparametrical estimator for the spect...
International audienceIn numerous applications data are observed at random times and an estimated gr...
International audienceFrom a wavelet analysis, one derives a nonparametrical estimator for the spect...
The estimation of mutual spectral density with polynomial window of data viewing of stationary stoch...
AbstractIn this paper, the spectral density estimation of a nonstationary class of stochastic proces...
Abstract This chapter is concerned with nonparametric estimation of the Lévy den-sity of a Lévy pr...
Pierre-Alain Jayet. Some notions on spectral analysis of time series. This article introduces to the...
International audienceWe consider a Poisson point process on R" of support {(x, y) 6 R2 : 0 < x < 1 ...
AbstractThis paper deals with issues pertaining to estimating the spectral density of a stationary h...
The work this thesis focuses on the choice of the smoothing parameter in the context of non-parametr...
International audienceFrom the study of the paper of Masry [1] of 1980, we propose an estimator of t...
Dans ce travail nous nous intéressons à l'estimation de la densité spectrale par la méthode du noyau...
Dans ce travail nous nous intéressons à l'estimation de la densité spectrale par la méthode du noyau...
International audienceWe extend to the continuous case the results of [l] , and we establish an ineq...
AbstractLet X = {X(t), − ∞ < t < ∞} be a continuous-time stationary process with spectral density fu...
International audienceFrom a wavelet analysis, one derives a nonparametrical estimator for the spect...
International audienceIn numerous applications data are observed at random times and an estimated gr...
International audienceFrom a wavelet analysis, one derives a nonparametrical estimator for the spect...
The estimation of mutual spectral density with polynomial window of data viewing of stationary stoch...
AbstractIn this paper, the spectral density estimation of a nonstationary class of stochastic proces...
Abstract This chapter is concerned with nonparametric estimation of the Lévy den-sity of a Lévy pr...
Pierre-Alain Jayet. Some notions on spectral analysis of time series. This article introduces to the...
International audienceWe consider a Poisson point process on R" of support {(x, y) 6 R2 : 0 < x < 1 ...
AbstractThis paper deals with issues pertaining to estimating the spectral density of a stationary h...
The work this thesis focuses on the choice of the smoothing parameter in the context of non-parametr...