On the Distribution of Some Statistical Estimates of Spectral Density

R. Bentkus, Римантас Рудзкис · Theory of Probability and Its Applications · 1983

Previous article Next article On the Distribution of Some Statistical Estimates of Spectral DensityR. Yu. Bentkus and R. A. RudzkisR. Yu. Bentkus and R. A. Rudzkishttps://doi.org/10.1137/1127088PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout[1] V. G. Alekseev, Some practical recommendations on the spectral analysis of Gaussian stationary random processes, Problemy Peredači Informacii, 9 (1973), 42–48, (In Russian.) 49:6532 0319.62060 Google Scholar[2] R. Yu. Bentkus, An estimate of spectral densitythe collection: Proceedings of the 4th International Symposium on Information Theory. Reports, Vol. 1, Izd. Akad. Nauk SSSR, Moscow-Leningrad, 1976, 22–23, (In Russian.) Google Scholar[3] R. Yu. Bentkus, On semi-invariants of estimates of the spectrum of a stationary sequence, Litovsk. Mat. Sb., 16 (1976), 37–61, 252–253, (In Russian.) 55:4568 Google Scholar[4] R. Yu. Bentkus and , R. A. Rudzkis, Large deviations for estimates of the spectrum of a stationary Gaussian sequence, Litovsk. Mat. Sb., 16 (1976), 63–77, 253, (In Russian.) 55:9456 0401.62075 Google Scholar[5] R. Yu. Bentkus and , R. A. Rudzkis, Exponential estimates for the distribution of random variables, Litovsk. Mat. Sb., 20 (1980), 15–30, 216, (In Russian.) 82d:60029 0428.60027 Google Scholar[6] David R. Brillinger, Asymptotic properties of spectral estimates of second order, Biometrika, 56 (1969), 375–390 39:7782 0179.23902 CrossrefGoogle Scholar[7] U. Grenander and , M. Rosenblatt, Statistical Analysis of Stochastic Time Series, Almqvist and Wiksell, Stockholm, 1956 Google Scholar[8] A. Zinodoťgmund, Trigonometric series. 2nd ed. Vols. I, Cambridge University Press, New York, 1959Vol. I. xii+383 pp.; Vol. II. vii+354 21:6498 Google Scholar[9] V. V. Petrov, Sums of Independent Random Variables, Nauka, Moscow, 1972, (In Russian.) Google Scholar[10] R. A. Rudzkis, Exponential inequalities for the maximal deviation of an estimate of the spectral density of a stationary Gaussian sequence, Litovsk. Mat. Sb., 17 (1977), 165–170, 214, (In Russian.) 56:4089 0385.62075 Google Scholar[11] R. A. Rudzkis, On a lemma of V. A. Statulevičius, Litovsk. Mat. Sb., 17 (1977), 179–185, 221–222, (In Russian.) 56:1423 0379.60027 Google Scholar[12] R. Rudzkis, Large deviations for estimates of the spectrum of a stationary sequence, Litovsk. Mat. Sb., 18 (1978), 81–98, 217, (In Russian.) 58:24802 0415.62073 Google Scholar[13] A. M. Samarov, A lower bound of the risk in estimates of the spectral density, Problemy Peredači Informacii, 13 (1977), 67–72, (In Russian.) 58:13577 0355.62083 Google Scholar[14] V. A. Statulevičius, On large deviations, Z. Wahrscheinlichkeitstheorie und Verw. Gebiete, 6 (1966), 133–144 36:4612 0158.36207 CrossrefGoogle Scholar[15] A. F. Timan, Approximation Theory of Functions of a Real Variable, Fizmatig, Moscow, 1960, (In Russian.) Google Scholar[16] William Feller, An introduction to probability theory and its applications. Vol. II. , Second edition, John Wiley & Sons Inc., New York, 1971xxiv+669 42:5292 0219.60003 Google Scholar[17] E. J. Hannan, Time series analysis, Methuen's Monographs on Applied Probability and Statistics, Methuen& Co. Ltd., London, 1960viii+152 22:5105 0095.13204 Google Scholar Previous article Next article FiguresRelatedReferencesCited ByDetails ASYMPTOTIC THEORY FOR SPECTRAL DENSITY ESTIMATES OF GENERAL MULTIVARIATE TIME SERIESEconometric Theory, Vol. 34, No. 1 | 27 February 2017 Cross Ref Optimal rates of convergence for estimating Toeplitz covariance matricesProbability Theory and Related Fields, Vol. 156, No. 1-2 | 14 March 2012 Cross Ref ASYMPTOTICS OF SPECTRAL DENSITY ESTIMATESEconometric Theory, Vol. 26, No. 4 | 4 November 2009 Cross Ref A LIMIT THEOREM FOR QUADRATIC FORMS AND ITS APPLICATIONSEconometric Theory, Vol. 23, No. 05 | 14 May 2007 Cross Ref Moderate deviations for quadratic forms in Gaussian stationary processesJournal of Multivariate Analysis, Vol. 98, No. 5 | 1 May 2007 Cross Ref HIGHER ORDER ASYMPTOTIC THEORY FOR MINIMUM CONTRAST ESTIMATORS OF SPECTRAL PARAMETERS OF STATIONARY PROCESSESEconometric Theory, Vol. 19, No. 06 | 24 September 2003 Cross Ref Edgeworth expansions for semiparametric Whittle estimation of long memoryThe Annals of Statistics, Vol. 31, No. 4 | 1 Aug 2003 Cross Ref Edgeworth expansions for spectral mean estimates with applications to Whittle estimatesAnnals of the Institute of Statistical Mathematics, Vol. 46, No. 4 | 1 Jan 1994 Cross Ref On the Distribution of Supremum-Type Functionals of Nonparametric Estimates of Probability and Spectral DensitiesR. RudzkisTheory of Probability & Its Applications, Vol. 37, No. 2 | 28 July 2006AbstractPDF (1091 KB)Aproximate Distributions of the Periodogram and Related Statistics under NormalityEconometric Theory, Vol. 2, No. 1 | 18 October 2010 Cross Ref Volume 27, Issue 4| 1983Theory of Probability & Its Applications667-886 History Submitted:26 March 1980Published online:17 July 2006 InformationCopyright © 1983 Society for Industrial and Applied MathematicsPDF Download Article & Publication DataArticle DOI:10.1137/1127088Article page range:pp. 795-814ISSN (print):0040-585XISSN (online):1095-7219Publisher:Society for Industrial and Applied Mathematics

Read the paper · More papers on PaperTik