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By J Fan & H Koul

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1998). Asymptotic normality of the maximum-likelihood estimator for general hidden Markov models. Ann. , 26(4):1614–1635. Bickel, P. J. and B¨ uhlmann, P. (1999). A new mixing notion and functional central limit theorem for a sieve bootstrap in time series. Bernoulli, 5(3):413–446. 2000—2004 125. Sakov, A. and Bickel, P. J. (2000). An Edgeworth expansion for the m out of n bootstrapped median. Statistics and Probability Letters, 49(3):217–223. 126. Bickel, P. J. Coifman, B. and Kwon, J. (2000).

107. Bickel, P. J. and Fan, J. (1996). Some problems on estimation of unimodal densities. Statist. Sinica, 6(1):23–45. 108. Bickel, P. J. and Ren, J. (1996). The m out of n bootstrap and goodness of fit tests with double censored data. , 35–47. Springer, New York, 1996. 109. Bickel, P. J. and Nair, V. N. (1995). Asymptotic theory of linear statistics in sampling proportional to size without replacement. Probab. Math. , 15:85–99. Dedicated to the memory of Jerzy Neyman. 110. Bickel, P. J. and Ritov, Y.

January 17, 2006 20 15:13 WSPC/Trim Size: 9in x 6in for Review Volume Frontiers Doksum and Ritov 146. Bickel, P. J. and Ritov, Y. (2003). Nonparametric estimators which can be “plugged-in”. Ann. , 31(4):1033–1053. 147. Bickel, P. , Eisen, M. , Kechris, K. and van Zwet, E. (2004). Detecting dna regulatory motifs by incorporating positional trends in information content. Genome Biology vol. 5 Issue 7. 148. , Bickel, P. J. and Rice, J. A. (2004). An approximate likelihood approach to nonlinear mixed effects models via spline approximation.

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