Volume 9 Number 1 January 1999
Wavelets and Their Statistical Applications Asymptotic Minimaxity of Wavelet Estimators with Sampled Data-------------- ----------------------------------------Donoho, D. L. and Johnstone, I. M. 1 On the minimax optimality of block thresholded wavelet estimators---------- --------------------------------Hall, P., Kerkyacharian, G.and Picard, D. 33 Wavelet shrinkage for correlated data and inverse problems: Adaptivity----- results----------------------------------------------------Johnstone, I. M. 51 Adaptation to high spatial inhomogeneity using wavelet methods------------- -------------------------------Fan, J., Hall, P., Martin, M. and Patil, P. 85 Change-points via wavelets for indirect data-------------------------Wang, Y. 103 Wavelet shrinkage estimation of certain Poisson intensity signals using corrected thresholds---------------------------------------Kolaczyk, E. D. 119 Density estimation by wavelet-based reproducing kernels----------Huang, S.-Y. 137 The wavelet identification of thresholds and time delay of threshold autoregressive models-----------------------------------Li, Y. and Xie, Z. 153 Subset-selection and ensemble methods for wavelet de-noising--------------- ---------------------------------Bruce, A. G., Gao, H.-Y. and Stuetzle, W. 167 A Bayesian decision theoretic approach to the choice of thresholding parameter-------------------------------------Ruggeri, F. and Vidakovic, B. 183General Rank estimating equations for partial spline model with monotonicity----- -------------------------------------------------Chen, C.-C. and Hsieh, F. 199 A class of nonparametric K-sample tests for semi-Markov counting processes---------------------Chang, I.-S., Chuang, Y.-C. and Hsiun, C. A. 211 Nonparametric estimation of the survival function based on censored data with additional observations from the residual life distribution------- ----------------------------------Kvam, P. H., Singh, H. and Tiwari, R. C. 229 An asymptotically honest prediction set for the multivariate regression model when the response is measured with error-----Huang, S. Y. H. and Huwang L. 247 On the construction of Gm-optimal designs------------Song, D. and Wong, W. K. 263 Bootstrap choice of cost complexity for better subset selection----Rao, J. S. 273 Strong consistency of least squares estimate in multiple regression when the error variance is infinite--------------------Jin M. and Chen, X. 289