A conversation with Emanuel Parzen

Statistical Science

Volumn 17, Issue 3, 2002, Pages 357-378

  Newton, H Joseph ^a  

^a TEXAS A AND M UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0042421801     PISSN: 08834237     EISSN: None     Source Type: Journal    
DOI: 10.1214/ss/1042727944     Document Type: Article

References (24)

1. AKAIKE, H. (1974). A new look at the statistical model identification. IEEE Trans. Automatic Control AC-19 716-723.
2. ARONSZAJN, N. (1950). Theory of reproducing kernels. Trans. Amer. Math. Soc. 68 337-404.
3. FINDLEY, D. F. and PARZEN, E. (1995). A conversation with Hirotugu Akaike. Statist. Sci. 10 104-117.
4. GRENANDER, U. (1950). Stochastic processes and statistical inference. Ark. Mat. 1 195-277.
5. HIRSCHFIELD, H. O. (1935). A connection between correlation and contingency. Proc. Cambridge Philos. Soc. 31 520.
6. JENKINS, G. M. (1961). General considerations in the analysis of spectra. Technometrics 3 133-166.
7. LANNING, J. H. and BATTIN, R. H. (1956). Random Processes in Automatic Control. McGraw-Hill, New York.
8. MAKRIDAKIS, E., NEWTON, H. J., PARZEN, E. et al. (1982). The accuracy of extrapolation (time series) methods: Results of a forecasting competition. J. Forecasting 1 111-153.
9. NEWTON, H. J. (1988). TIMESLAB: A Time Series Analysis Laboratory. Wadsworth, Pacific Grove, CA.
10. OGDEN, T. and PARZEN, E. (1996). Data dependent wavelet thresholding in nonparametric regression with change point applications. Comput. Statist. Data Anal. 22 53-70.
11. PARZEN, E. (1958). On asymptotically efficient consistent estimates of the spectral density function of a stationary time series. J. Roy. Statist. Soc. Ser. B 20 303-322.
12. PARZEN, E. (1961a). An approach to time series analysis. Ann. Math. Statist. 32 951-989.
13. PARZEN, E. (1961b). Mathematical considerations in the estimation of spectra. Technometrics 3 167-190.
14. PARZEN, E. (1962). On estimation of a probability density function and mode. Ann. Math. Statist. 33 1065-1076.
15. PARZEN, E. (1969). Multiple time series modeling. In Multivariate Analysis - II (P. Krishnaiah, ed.) 389-409. Academic Press, New York.
16. PARZEN, E. (1974). Some recent advances in time series modeling. IEEE Trans. Automatic Control AC-19 723-730.
17. PARZEN, E. (1977). Multiple time series: Determining the order of approximating autoregressive schemes. In Multivariate Analysis - IV (P. Krishnaiah, ed.) 283-295. North-Holland, Amsterdam.
18. PARZEN, E. (1979). Nonparametric statistical data modeling (with discussion). J. Amer. Statist. Assoc. 74 105-131.
19. PARZEN, E. (1982). ARARMA models for time series analysis and forecasting. J. Forecasting 1 67-82.
20. PARZEN, E. (1992). Comparison change analysis. In Nonparametric Statistics and Related Topics (A. K. Saleh, ed.) 3-15. North-Holland, Amsterdam.
21. PARZEN, E. (1992). Time series, statistics and information. In New Directions in Time Series Analysis (D. Brillinger, P. Caines, J. Geweke, E. Parzen, M. Rosenblatt and M. S. Taqqu, eds.) 265-286. Springer, New York.
22. RAMSAY, J. O. and SILVERMAN, B. W. (1997). Functional Data Analysis. Springer, New York.
23. SACKS, J. and YLVISAKER, D. (1968). Designs for regression problems with correlated errors: many parameters. Ann Math. Statist. 39 40-69.
24. TUKEY, J. W. (1961). Discussion, emphasizing the connection between analysis of variance and spectrum analysis. Technometrics 3 191-219.