Analytical Methods in Statistics

519.5

Analytical Methods in Statistics AMISTAT, Prague, November 2015 / edited by Jaromír Antoch, Jana Jurečková, Matúš Maciak, Michal Pešta. -
IX, 207 p. 12 illus., 4 illus. in color. online resource. - (Springer Proceedings in Mathematics & Statistics, 193) Content notes : 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 Jurečková) -- 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 Zdeněk 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). 9783319513133 * Mathematical statistics. Distribution (Probability theory. Statistics. Statistical Theory and Methods. Probability Theory and Stochastic Processes. Statistics for Business/Economics/Mathematical Finance/Insurance. * Antoch, Jaromír., edt, http://id.loc.gov/vocabulary/relators/edtJurečková, Jana., edt, http://id.loc.gov/vocabulary/relators/edtMaciak, Matúš., edt, http://id.loc.gov/vocabulary/relators/edtPešta, Michal., edt, http://id.loc.gov/vocabulary/relators/edt * Title * Series