On conditional density estimation

Statistica Neerlandica

Volumn 57, Issue 2, 2003, Pages 159-176

  De Gooijer, Jan G ^a   Zerom, Dawit ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

mixing; Asymptotic properties; Negativity; Nonparametric; RNW

Indexed keywords

EID: 0037563919     PISSN: 00390402     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-9574.00226     Document Type: Article

References (20)

1. AZZALINI, A. and A.W. BOWMAN, (1990), A look at some data on the Old Faithful geyser, Applied Statistics 39, 357-365.
2. CAI, Z. (2001), Weighted Nadaraya-Watson regression estimation, Statistics & Probability Letters 51, 307-318.
3. CAI, Z. (2002), Regression quantiles for time series, Econometric Theory 18, 169-192.
4. CHEN, X., O.B. LINTON and P. ROBINSON (2001), The estimation of conditional densities, STICERD Econometrics Discussion Paper, No. EM/01/415.
5. DAVYDOV, A. (1970), The invariance principle for stationary processes, Theory of Probability and its Applications 15, 487-498.
6. DOOB, J. (1953), Stochastic processes, John Wiley and Sons, New York.
7. FAN, J. (1992), Design-adaptive nonparametric regression, Journal of the American Statistical Association 87, 998-1004.
8. FAN, J. and I. GIJBELS (1996), Local polynomial modelling and its applications. Monographs on statistics and applied probability 66 Chapman & Hall, London.
9. FAN, J., Q. YAO and H. TONG (1996), Estimation of conditional densities and sensitivity measures in nonlinear dynamical systems, Biometrika 83, 189-206.
10. HALL, P. and B. PRESNELL (1999), Intentionally biased bootstrap methods. Journal of the Royal Statistical Society B 61, 143-158.
11. HALL, P., R.C.L. WOLFF and Q. YAO (1999), Methods for estimating a conditional distribution function. Journal of the American Statistical Association 94, 154-163.
12. HYNDMAN, R.J. (1996), Computing and graphing highest density regions, The American Statistician 50, 120-126.
13. HYNDMAN, R.J., D.M. BASHTANNYK and O.K. GRUNWALD (1996), Estimating and visualizing conditional densities, Journal of Computational and Graphical Statistics 5, 315-336.
14. HYNDMAN, R.J. and Q. YAO (2002), Nonparametric estimation and symmetry tests for conditional density functions, Journal of Nonparametric Statistics 14, 259-278.
15. MASRY, E. (1986), Recursive probability density estimation for weakly dependent processes, IEEE Transactions on Information Theory 32, 254-267.
16. OWEN, A.B. (1988), Empirical likelihood ratio confidence intervals for a single functional, Biometrika 75, 237-249.
17. ROSENBLATT, M. (1956), A central limit theorem and a strong mixing condition, Proceedings of The National Academy of Science of The United States of America 42, 43-47.
18. ROSENBLATT, M. (1969), Conditional probability density and regression estimators, in: Multivariate Analysis II, Academic Press, New York, 25-31.
19. ROUSSAS, G.G. and D.A. IOANNIDES (1987), Moment inequalities for mixing sequences of random variables, Stochastic Analysis and Applications 5, 61-120.
20. VOLKONSKII, V.A. and Y.A. ROZANOV (1959), Some limit theorems for random functions, Theory of Probability and its Applications 4, 178-197.