A recursive algorithm (the recursion is on the order of model) related to the estimation of the coefficients of an autoregressive model based on maximozation of likelihood is presented . The estimated coefficients are used to obtain the soatial power densities by means of maximum of entropy method. Lastly, simulation results are presented for comparison with Durbin-Levinson's algorithm .On détermine un algorithme récursif (sur l'ordre du modèle) d'estimation des coefficients d'un modèle autorégressif au sens du maximum de vraisemblance. Les coefficients ainsi estimés servent alors à estimer les densités spectrales des sources par la méthode du maximum d'entropie . Enfin, on présente des résultats de simulation permettant de comparer ce...
A recursive maximum-likelihood algorithm (RML) is proposed that can be used when both the observatio...
This paper investigates asymptotic properties of the maximum likelihood estimator and the quasi-maxi...
Estimation of parameters of theoretical models is one of the main goals of statistical inference. Fr...
A new method of autoregressive parameter estimation is presented. The technique is a closer approxim...
The likelihood functions for spatial autoregressive models with normal but heteroskedastic distur-ba...
Time series modeling as the sum of a deterministic signal and an autoregressive (AR) process is stud...
Abstract The (quasi-) maximum likelihood estimator (MLE) for the autoregressive parameter in a spati...
SIGLECNRS 17660 / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc
The (quasi-) maximum likelihood estimator (QMLE) for the autoregres-sive parameter in a spatial auto...
Several algorithms have been used in maximum entropy spectral analysis. Among them, the standard Bur...
Includes bibliographical references.In this paper, we rederive recursive maximum likelihood (RML) fo...
Spatial process, asymptotic normality, consistency, lattice sampling, stochastic difference equation...
The quasi-maximum likelihood estimator for the autoregressive parameter in a spatial autoregression...
The method of maximum entropy spectral analysis is reviewed . The main purpose is to establish this ...
This paper briefly reviews the principles of maximum entropy spectral analysis and the closely relat...
A recursive maximum-likelihood algorithm (RML) is proposed that can be used when both the observatio...
This paper investigates asymptotic properties of the maximum likelihood estimator and the quasi-maxi...
Estimation of parameters of theoretical models is one of the main goals of statistical inference. Fr...
A new method of autoregressive parameter estimation is presented. The technique is a closer approxim...
The likelihood functions for spatial autoregressive models with normal but heteroskedastic distur-ba...
Time series modeling as the sum of a deterministic signal and an autoregressive (AR) process is stud...
Abstract The (quasi-) maximum likelihood estimator (MLE) for the autoregressive parameter in a spati...
SIGLECNRS 17660 / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc
The (quasi-) maximum likelihood estimator (QMLE) for the autoregres-sive parameter in a spatial auto...
Several algorithms have been used in maximum entropy spectral analysis. Among them, the standard Bur...
Includes bibliographical references.In this paper, we rederive recursive maximum likelihood (RML) fo...
Spatial process, asymptotic normality, consistency, lattice sampling, stochastic difference equation...
The quasi-maximum likelihood estimator for the autoregressive parameter in a spatial autoregression...
The method of maximum entropy spectral analysis is reviewed . The main purpose is to establish this ...
This paper briefly reviews the principles of maximum entropy spectral analysis and the closely relat...
A recursive maximum-likelihood algorithm (RML) is proposed that can be used when both the observatio...
This paper investigates asymptotic properties of the maximum likelihood estimator and the quasi-maxi...
Estimation of parameters of theoretical models is one of the main goals of statistical inference. Fr...