Robust estimation of (partial) autocorrelation
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[1] Hannu Oja,et al. Influence functions and efficiencies of the canonical correlation and vector estimates based on scatter and shape matrices , 2006 .
[2] Peter Filzmoser,et al. An Object-Oriented Framework for Robust Multivariate Analysis , 2009 .
[3] M. Hallin,et al. Rank-based autoregressive order identification , 1999 .
[4] H. P. Lopuhaä. On the relation between S-estimators and M-estimators of multivariate location and covariance , 1989 .
[5] J. Duan. THE GARCH OPTION PRICING MODEL , 1995 .
[6] R. Maronna. Robust $M$-Estimators of Multivariate Location and Scatter , 1976 .
[7] Huimin Chung,et al. Estimation of GARCH Models from the Autocorrelations of the Squares of a Process , 2001 .
[8] Dimitris N. Politis,et al. Financial time series , 2009 .
[9] M. Genton,et al. Highly Robust Estimation of Dispersion Matrices , 2001 .
[10] Bell Telephone,et al. ROBUST ESTIMATES, RESIDUALS, AND OUTLIER DETECTION WITH MULTIRESPONSE DATA , 1972 .
[11] C. Croux,et al. Influence Function and Efficiency of the Minimum Covariance Determinant Scatter Matrix Estimator , 1999 .
[12] Richard A. Davis,et al. Limit Theory for the Sample Covariance and Correlation Functions of Moving Averages , 1986 .
[13] Eric Schmitt,et al. Finding multivariate outliers with FastPCS , 2014, Comput. Stat. Data Anal..
[14] William W. S. Wei,et al. Time series analysis - univariate and multivariate methods , 1989 .
[15] Wai-Sum Chan,et al. A note on time series model specification in the presence of outliers , 1992 .
[16] V. Yohai,et al. A Fast Algorithm for S-Regression Estimates , 2006 .
[17] M. Debruyne,et al. Minimum covariance determinant , 2010 .
[18] P. Rousseeuw,et al. Alternatives to the Median Absolute Deviation , 1993 .
[19] Ruben H. Zamar,et al. Robust Estimates of Location and Dispersion for High-Dimensional Datasets , 2002, Technometrics.
[20] Richard A. Davis,et al. Regular variation of GARCH processes , 2002 .
[21] J. Rojo,et al. Heavy‐tailed densities , 2013 .
[22] P. Rousseeuw,et al. A fast algorithm for the minimum covariance determinant estimator , 1999 .
[23] T. Bollerslev,et al. Generalized autoregressive conditional heteroskedasticity , 1986 .
[24] Suliman Al-Homidan. Semidefinite and second-order cone optimization approach for the Toeplitz matrix approximation problem , 2006, J. Num. Math..
[25] Ursula Gather,et al. The identification of multiple outliers in online monitoring data , 1999 .
[26] M. Genton,et al. Highly Robust Estimation of the Autocovariance Function , 2000 .
[27] Catherine Dehon,et al. Influence functions of the Spearman and Kendall correlation measures , 2010, Stat. Methods Appl..
[28] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[29] D. Thomson,et al. Robust-resistant spectrum estimation , 1982, Proceedings of the IEEE.
[30] Jorge Caiado,et al. A periodogram-based metric for time series classification , 2006, Comput. Stat. Data Anal..
[31] P. L. Davies,et al. Asymptotic behaviour of S-estimates of multivariate location parameters and dispersion matrices , 1987 .
[32] A. V. Vecchia,et al. Testing for periodic autocorrelations in seasonal time series data , 1991 .
[33] David E. Tyler. A Distribution-Free $M$-Estimator of Multivariate Scatter , 1987 .
[34] Christophe Croux,et al. The Gaussian rank correlation estimator: robustness properties , 2010, Statistics and Computing.
[35] R. Chou,et al. ARCH modeling in finance: A review of the theory and empirical evidence , 1992 .
[36] Richard A. Davis,et al. The sample autocorrelations of heavy-tailed processes with applications to ARCH , 1998 .
[37] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1971 .
[38] P. Rousseeuw,et al. Minimum volume ellipsoid , 2009 .
[39] Christopher G. Lamoureux,et al. Heteroskedasticity in Stock Return Data: Volume versus GARCH Effects , 1990 .
[40] Daniel Gervini,et al. A robust and efficient adaptive reweighted estimator of multivariate location and scatter , 2003 .
[41] Stuart Jay Deutsch,et al. Effects of a single outlier on arma identification , 1990 .
[42] Ali S. Hadi,et al. Detection of outliers , 2009 .
[43] John Makhoul. LATTICE METHODS IN SPECTRAL ESTIMATION , 1981 .
[44] P. Phillips,et al. Testing the covariance stationarity of heavy-tailed time series: An overview of the theory with applications to several financial datasets , 1994 .
[45] Fred L. Ramsey,et al. Characterization of the Partial Autocorrelation Function , 1974 .
[46] Yacine Chakhchoukh,et al. A New Robust Estimation Method for ARMA Models , 2009, IEEE Transactions on Signal Processing.
[47] Nélida E. Ferretti,et al. Estimators based on ranks for arma models , 1991 .
[48] C. Masreliez. Approximate non-Gaussian filtering with linear state and observation relations , 1975 .
[49] Oscar H. Bustos,et al. Robust Estimates for ARMA Models , 1986 .
[50] William W. S. Wei,et al. A comparison of some estimators of time series autocorrelations , 1992 .
[51] Roland Fried,et al. On Outliers and Interventions in Count Time Series following GLMs , 2014 .
[52] Guido Masarotto,et al. Robust Identification of Autoregressive Moving Average Models , 1987 .