图书简介

Part I Nonparametric Statistics and Econometrics. - Profile least squares estimators in the monotone single index model, (Fadoua Balabdaoui and Piet Groeneboom). - Optimization by Gradient Boosting, (Gérard Biau and Benoît Cadre). - Nonparametric model-based estimators for the cumulative distribution function of a right censored variable in a small area, (Sandrine Casanova and Eve Leconte). - Relaxing monotonicity in endogenous selection models and application to surveys, (Gautier Eric). - B-spline estimation in a survey sampling framework, (Camelia Goga). - Computational outlier detection methods in sliced inverse regression, (Hadrien Lorenzo and Jérôme Saracco). - Uncoupled isotonic regression with discrete errors, (Jan Meis and Enno Mammen). - Part II Spatial Statistics and Econometrics. - Partially linear expectile regression using local polynomial fitting (Cécile Adam and Irène Gijbels). - Piecewise linear continuous estimators of the quantile function (Delphine Blanke, Denis Bosq). - Single-index quantile regression models for censored data (Axel Bücher, Anouar El Ghouch and Ingrid Van Keilegom). - Extreme Lp quantile kernel regression (Stéphane Girard, Gilles Stupfler and Antoine Usseglio-Carleve). - Robust efficiency analysis of public hospitals in Queensland, Australia (Bao Hoang Nguyen and Valentin Zelenyuk). - On the behavior of extreme 3-dimensional spatial quantiles under minimal assumptions (Davy Paindaveine and Joni Virta). - Modelling flow in gas transmission networks using shape-constrained expectile regression (Fabian Otto-Sobotka, Radoslava Mirkov, Benjamin Hofner and Thomas Kneib). - Part III Compositional Data Analysis and Applications. - Asymptotic analysis of maximum likelihood estimation of covariance parameters for Gaussian processes: an introduction with proofs (François Bachoc). - Global scan methods for comparing two spatial point processes (Florent Bonneu and Lionel Cucala). - Assessing spillover effects of spatial policies with semiparametric zero-inflated models and random forests (Hervé Cardot and Antonio Musolesi). - Spatial autocorrelation in econometric land use models: an overview (Raja Chakir and Julie Le Gallo). - Modeling dependence in spatio-temporal econometrics (Noel Cressie and Christopher K. Wikle). - Guidelines on areal interpolation methods (Van Huyen Do, Thibault Laurent and Anne Vanhems). - Predictions in spatial econometric models: Application to unemployment data (Thibault Laurent and Paula Margaretic). - Lagrangian spatio-temporal nonstationary covariance functions (Mary Lai O. Salvaña and Marc G. Genton). - Part IV Compositional Data Analysis. - Logratio approach to distributional modeling (Peter Filzmoser, Karel Hron and Alessandra Menafoglio). - A spatial Durbin model for compositional data (Tingting Huang, Gilbert Saporta and Huiwen Wang ). - Compositional analysis of exchange rates (Wilfredo L. Maldonado, Juan José Egozcue and Vera Pawlowsky-Glahn). - Logcontrast and orthonormal logratio coordinates for compositional data with a total (Josep Antoni Martín-Fernández and Carles Barceló-Vidal). - Independent component analysis for compositional data (Christoph Muehlmann, Kamila Facevicová, Alžbeta Gardlo, Hana Janecková and Klaus Nordhausen) - Diet quality and food sources in Vietnam: First evidence using compositional data analysis (Michel Simioni, Huong Thi Trinh, Tuyen Thi Thanh Huynh and Thao-VyVuong). - Part V Tools for Empirical Studies in Economics and Social Sciences. - Mobility for study and professional integration: an empirical overview of the situation in France based on the Cereq generational surveys (Bastien Bernela, Liliane Bonnal and Pascal Favard). - Towards a FAIR reproducible research (Christophe Bontemps and Valérie Orozco

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