Robust and Nonlinear Time Series Analysis -

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Sommaire:
On the Use of Bayesian Models in Time Series Analysis.- Order Determination for Processes with Infinite Variance.- Asymptotic Behaviour of the Estimates Based on Residual Autocovariances for ARMA Models.- Parameter Estimation of Stationary Processes with Spectra Containing Strong Peaks.- Linear Error-in-Variables Models.- Minimax-Robust Filtering and Finite-Length Robust Predictors.- The Problem of Unsuspected Serial Correlations.- The Estimation of ARMA Processes.- How to Determine the Bandwidth of some Nonlinear Smoothers in Practice.- Remarks on NonGaussian Linear Processes with Additive Gaussian Noise.- Gross-Error Sensitivies of GM and RA-Estimates.- Some Aspects of Qualitative Robustness in Time Series.- Tightness of the Sequence of Empiric C.D.F. Processes Defined from Regression Fractiles.- Robust Nonparametric Autoregression.- Robust Regression by Means of S-Estimators.- On Robust Estimation of Parameters for Autoregressive Moving Average Models.