Analytical Methods in Statistics : AMISTAT, Prague, November 2015
Softcover reprint of the original 1st ed. 2017
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Preface.- A Weighted Bootstrap Procedure for Divergence Minimization Problems (Michel Broniatowski).- Asymptotic Analysis of Iterated 1-step Huber-skip M-estimators with Varying Cut-offs (Xiyu Jiao and Bent Nielsen).-Regression Quantile and Averaged Regression Quantile Processes (Jana Jurecková).- Stability and Heavy-tailness (Lev B. Klebanov).- Smooth Estimation of Error Distribution in Nonparametric Regression under Long Memory (Hira L. Koul and Lihong Wang).- Testing Shape Constrains in Lasso Regularized Joinpoint Regression (Matúš Maciak).- Shape Constrained Regression in Sobolev Spaces with Application to Option Pricing (Michal Pešta and Zdenek Hlávka).- On Existence of Explicit Asymptotically Normal Estimators in Non-Linear Regression Problems (Alexander Sakhanenko).- On the Behavior of the Risk of a LASSO-Type Estimator (Silvelyn Zwanzig and M. Rauf Ahmad).
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