001463534 000__ 04780cam\a2200637\i\4500 001463534 001__ 1463534 001463534 003__ OCoLC 001463534 005__ 20230601003325.0 001463534 006__ m\\\\\o\\d\\\\\\\\ 001463534 007__ cr\cn\nnnunnun 001463534 008__ 230427s2023\\\\sz\a\\\\o\\\\\010\0\eng\d 001463534 019__ $$a1376918035$$a1379643661 001463534 020__ $$a9783031226878$$q(electronic bk.) 001463534 020__ $$a3031226879$$q(electronic bk.) 001463534 020__ $$z9783031226861 001463534 020__ $$z3031226860 001463534 0247_ $$a10.1007/978-3-031-22687-8$$2doi 001463534 035__ $$aSP(OCoLC)1377592972 001463534 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dN$T 001463534 049__ $$aISEA 001463534 050_4 $$aQA278 001463534 08204 $$a519.5/35$$223/eng/20230427 001463534 24500 $$aRobust and multivariate statistical methods :$$bfestschrift in honor of David E. Tyler /$$cMengxi Yi, Klaus Nordhausen, editors. 001463534 264_1 $$aCham :$$bSpringer,$$c[2023] 001463534 264_4 $$c©2023 001463534 300__ $$a1 online resource (xviii, 495 pages) :$$billustrations (chiefly color) 001463534 336__ $$atext$$btxt$$2rdacontent 001463534 337__ $$acomputer$$bc$$2rdamedia 001463534 338__ $$aonline resource$$bcr$$2rdacarrier 001463534 5050_ $$aPart I About David E. Tylers Publications -- An Analysis of David E. Tylers Publication and Coauthor Network. A Review of Tylers Shape Matrix and Its Extensions -- Part II Multivariate Theory and Methods -- On the Asymptotic Behavior of the Leading Eigenvector of Tylers Shape Estimator Under Weak Identifiability -- On Minimax Shrinkage Estimation with Variable Selection -- On the Finite-Sample Performance of Measure-Transportation-Based Multivariate Rank Tests -- Refining Invariant Coordinate Selection via Local Projection Pursuit -- Directional Distributions and the Half-Angle Principle -- Part III Robust Theory and Methods -- Power M-Estimators for Location and Scatter -- On Robust Estimators of a Sphericity Measure in High Dimension -- Detecting Outliers in Compositional Data Using Invariant Coordinate Selection -- Robust Forecasting of Multiple Time Series with One-Sided Dynamic Principal Components -- Robust and Sparse Estimation of Graphical Models Based on Multivariate Winsorization -- Robustly Fitting Gaussian Graphical Modelsthe RPackage robFitConGraph -- Robust Estimation of General Linear Mixed Effects Models -- Asymptotic Behaviour of Penalized Robust Estimators in Logistic Regression When Dimension Increases -- Conditional Distribution-Based Downweighting for Robust Estimation of Logistic Regression Models -- Bias Calibration for Robust Estimation in Small Areas -- The Diverging Definition of Robustness in Statistics and Computer Vision -- Part IV Other Methods -- Power Calculations and Critical Values for Two-Stage Nonparametric Testing Regimes -- Data Nuggets in Supervised Learning -- Improved Convergence Rates of Normal Extremes -- Local Spectral Analysis of Qualitative Sequences via Minimum Description Length. 001463534 506__ $$aAccess limited to authorized users. 001463534 520__ $$aThis book presents recent developments in multivariate and robust statistical methods. Featuring contributions by leading experts in the field it covers various topics, including multivariate and high-dimensional methods, time series, graphical models, robust estimation, supervised learning and normal extremes. It will appeal to statistics and data science researchers, PhD students and practitioners who are interested in modern multivariate and robust statistics. The book is dedicated to David E. Tyler on the occasion of his pending retirement and also includes a review contribution on the popular Tylers shape matrix. 001463534 588__ $$aDescription based on print version record. 001463534 650_0 $$aMultivariate analysis. 001463534 650_0 $$aRobust statistics. 001463534 650_0 $$aMachine learning. 001463534 655_7 $$aFestschriften.$$2lcgft 001463534 655_0 $$aElectronic books. 001463534 7001_ $$aYi, Mengxi,$$eeditor. 001463534 7001_ $$aNordhausen, Klaus,$$eeditor. 001463534 7001_ $$aTyler, David E.,$$ehonouree. 001463534 77608 $$iPrint version:$$tRobust and multivariate statistical methods.$$dCham : Springer, 2023$$z9783031226861$$w(OCoLC)1368268139 001463534 852__ $$bebk 001463534 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-22687-8$$zOnline Access$$91397441.1 001463534 909CO $$ooai:library.usi.edu:1463534$$pGLOBAL_SET 001463534 980__ $$aBIB 001463534 980__ $$aEBOOK 001463534 982__ $$aEbook 001463534 983__ $$aOnline 001463534 994__ $$a92$$bISE