- Statistica Sinica 15(2005), 177-195 WEIGHTED RESIDUAL-BASED DENSITY ESTIMATORS
- Estimating the inter-arrival time density of Markov renewal processes under structural assumptions on the transition
- The Annals of Statistics 2004, Vol. 32, No. 2, 603632
- Convergence in weighted L1-norms of convolution estimators for the response density in nonparametric regression
- NON-STANDARD BEHAVIOR OF DENSITY ESTIMATORS FOR SUMS OF SQUARED OBSERVATIONS
- February 21, 2011 9:45 Journal of Nonparametric Statistics rev17 Journal of Nonparametric Statistics
- TESTS FOR NORMALITY BASED ON DENSITY ESTIMATORS OF CONVOLUTIONS
- IMPROVED DENSITY ESTIMATORS FOR INVERTIBLE LINEAR PROCESSES
- ESAIM: Probability and Statistics Will be set by the publisher URL: http://www.emath.fr/ps/
- ESTIMATING THE ERROR DISTRIBUTION FUNCTION IN NONPARAMETRIC REGRESSION WITH MULTIVARIATE
- November 12, 2008 14:28 Journal of Nonparametric Statistics paper Journal of Nonparametric Statistics
- Metrika manuscript No. (will be inserted by the editor)
- The Annals of Statistics 2007, Vol. 35, No. 2, 815843
- March 3, 2005 14:40 WSPC/Trim Size: 9in x 6in for Review Volume m-bickel04 EFFICIENT ESTIMATORS FOR TIME SERIES
- Imputing responses that are not missing Ursula U. Muller
- AN EMPIRICAL LIKELIHOOD APPROACH TO GOODNESS OF FIT TESTING
- International Journal of Statistics and Management Systems, 2007, Vol. 2, No. 12, pp. 6787. c 2007 Serials Publications
- Uniform convergence of convolution estimators for the response density in nonparametric regression
- A. Schick and W. Wefelmeyer Page 1 Some Developments in Semiparametric Statistics
- IMPROVING EFFICIENT MARGINAL ESTIMATORS IN BIVARIATE MODELS WITH PARAMETRIC MARGINALS
- This article was originally published in a journal published by Elsevier, and the attached copy is provided by Elsevier for the
- On efficient estimation of densities for sums of squared observations
- ASYMPTOTIC NORMALITY OF QUADRATIC FORMS WITH RANDOM VECTORS OF INCREASING DIMENSION
- On efficient estimation of densities for sums of squared observations
