-order selection criteria (both information theoretic based and bootstrap-based). Also, we show that for some models the performance of … the bootstrap-based criterion improves significantly by using the proposed partial-model selection searching method. Index … Terms— Model order estimation, model selection, information theoretic criteria, bootstrap 1. INTRODUCTION Several model …

estimator (CME), the bootstrap and the more recently proposed hook-and-loop resampling based model selection. The advantages and …

principles related to the expectation maximization (EM) algorithm and bootstrap methods. We formulate the criteria for three …

compare these properties in multiple directions. An L_2 consistent subsampling estimator for the asymptotic covariance matrix …

well known that the moving block bootstrap method produces an inconsistent estimator of thedistribution of the normalized … sample mean when its limiting distribution is not normal. The subsampling method of Hall, Lahiri and Jing (1998) produces a … arbitrary tuning parameter. By adopting a self-normalization idea, we modify the subsampling procedure of Hall et al.(1998) and …

treatment by perturbation (i.e., substitution of IVs and not SVs) and suppression (i.e., subsampling-out of records). In this … records. Survey sampling techniques of sample allocation are used to assign substitution and subsampling rates to risk strata … defined by unique and nonunique records such that bias due to substitution and variance due to subsampling for main study …