Advances in Contemporary Statistics and Econometrics
Springer International Publishing (Verlag)
978-3-030-73248-6 (ISBN)
This book presents a unique collection of contributions on modern topics in statistics and econometrics, written by leading experts in the respective disciplines and their intersections. It addresses nonparametric statistics and econometrics, quantiles and expectiles, and advanced methods for complex data, including spatial and compositional data, as well as tools for empirical studies in economics and the social sciences. The book was written in honor of Christine Thomas-Agnan on the occasion of her 65th birthday. Given its scope, it will appeal to researchers and PhD students in statistics and econometrics alike who are interested in the latest developments in their field.
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Abdelaati Daouia is an Associate Professor of Applied Mathematics at the University of Toulouse Capitole, France. Having published in leading statistics and econometrics journals, his main research fields include frontier models and extreme value theory. His most recent works concern statistical methods in production econometrics and financial risk. His interests also include shape-constrained estimation and the problem of optimal location. He has been awarded a Marie Curie Intra-European Fellowship in Mathematics and is currently an Associate Editor of the Journal of Nonparametric Statistics and the Journal of Statistical Planning and Inference.
Anne Ruiz-Gazen is a Professor of Statistics at the University of Toulouse Capitole, France. Her research interests include multivariate data analysis, robust statistics, computational statistics, survey sampling, spatial statistics and econometrics. She has published more than sixty papers and is currently an Associate Editor of the Journal of Multivariate Analysis and Statistical Papers. In addition, she is the Director of the international Master's Program in Statistics and Econometrics at the Toulouse School of Economics.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 (FlorentBonneu 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, Alzbeta 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)- "One man, one vote" Part 2: Measurement of malapportionment and disproportionality and theLorenz curve. - A: Introduction and measurement tools (Olivier de Mouzon, Thibault Laurent and Michel Le Breton). - "One man, one vote" Part 2: Measurement of malapportionment and disproportionality and the Lorenz curve. - B: Applications (Olivier de Mouz on, Thibault Laurent and Michel Le Breton). - Visualizing France with Cartograms (Jonathan Haughton and Dominique Haughton)- Kernel and dissimilarity methods for exploratory analysis in a social context (Jérôme Mariette, Madalina Olteanu and Nathalie Vialaneix). - Of particles and molecules: application of particle filtering to irrigated agriculture in Punjab, India (Alban Thomas).
| Erscheinungsdatum | 28.06.2021 |
|---|---|
| Zusatzinfo | XXIII, 710 p. 136 illus., 96 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1262 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Statistik |
| Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
| Wirtschaft ► Volkswirtschaftslehre ► Ökonometrie | |
| Schlagworte | Complex Data • Compositional data analysis • Econometrics • empirical studies in economics • empirical studies in the social sciences • Nonparametric Statistics • quantiles and expectiles • Spatial econometrics • spatial statistics |
| ISBN-10 | 3-030-73248-7 / 3030732487 |
| ISBN-13 | 978-3-030-73248-6 / 9783030732486 |
| Zustand | Neuware |
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