Smoothed bootstrap bandwidth selection in nonparametric density estimation for moving average processes

Stochastic Analysis and Applications

Volumn 19, Issue 4, 2001, Pages 555-580

  Saavedra, Ángeles ^a   Cao, Ricardo ^b  

^a UNIVERSITY OF VIGO   (Spain)

^b UNIVERSITY OF A CORUÑA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0035607743     PISSN: 07362994     EISSN: None     Source Type: Journal    
DOI: 10.1081/SAP-100002102     Document Type: Article

References (19)

1. P.J. Brockwell and R. A. Davis. Time Series: Theory and Methods. Springer-Verlag 1991.
2. R. Cao. Bootstrapping the mean integrated squared error. J. Multivar. Anal. 1990, 45, 137-60.
3. R. Cao; A. Cuevas and W. González-Manteiga. A comparative study of several smoothing methods in density estimation. Comput. Stat. and Data Anal. 1994, 17, 153-76.
4. R. Cao; A. Quintela-del-Río and J.M. Vilar-Fernândez. Bandwidth selection in nonparametric density estimation under dependence: a simulation study. Comput. Stat. 1993, 8, 313-332.
5. L. Devroye. Universal smoothing factor selection in density estimation: theory and practice. Test. 1997, 6, 223-320.
6. B. Efron. Bootstrap methods: another look at the jackknife. Ann. Statist. 1979, 7, 1-26.
7. W.A. Fuller. Introduction to Statistical Time Series. Wiley 1976.
8. P. Hall; S.N. Lahiri and Y.K. Truong. On bandwidth choice for density estimation with dependent data. Ann. Statist. 1995, 23, 2241-63.
9. P. Hall; J.S. Marron and B.U. Park. Smoothed cross-validation. Probab. Theor. Related Fields. 1992, 92, 1-20.
10. W. Härdle. Smoothing Techniques with Implementation in S. Springer-Verlag 1990.
11. J.D. Hart. Some automated methods of smoothing time-dependent data. J. Nonparametr. Statist. 1996, 6, 115-42.
12. J.D. Hart and P. Vieu. Data-driven bandwidth choice for density estimation based on dependent data. Ann. Satatist. 1990, 18, 873-90.
13. T.Y. Kim and D.D. Cox. A study on bandwidth selection in density estimation under dependence. J. Multivariate Anal. 1997, 62, 190-203.
14. A. Quintela del Río. Nonparametric estimation of density derivatives of dependent data. J. Statist. Plann. Inference. 1997, 61, 55-74.
15. M. Rosenblatt. Density estimates and Markov sequences. Nonparametric Techniques in Statistical Inference. M. Puri ed. 1970, 199-210. Cambridge University Press.
16. A. Saavedra and R. Cao. On the estimation of the marginal density of a moving average process. To appear in Canad. J. Statist.
17. A. Saavedra and R. Cao. Rate of convergence of a convolution-type estimator of the marginal density of a MA(1) process. Stoch. Proc. Their. Appl. 1999, 80, 129-155.
18. M.P. Wand and M.C. Jones. Kernel Smoothig. Chapman and Hall 1995.
19. W. Wei. Time Series Analysis. Addison-Wesley 1990.