Modern Series Methods in Econometrics and Statistics - Couverture rigide

Dong, Chaohua; Gao, Jiti

Couverture rigide

ISBN 10 : 9819628210 ISBN 13 : 9789819628216

Editeur : Springer Nature Switzerland AG, 2025

Synopsis

This book introduces modern series methods with a focus on applications in econometrics and statistics. The last part, part four examines advanced topics, such as the connections between series methods and generalized functions, and compares series methods with kernel methods, highlighting their respective strengths and use cases.

A propos du livre

À propos de l?auteur

Professor Chaohua Dong is Professor of Econometrics in the School of Statistics and Mathematics at Zhongnan University of Economics and Law, China. After finishing his PhD study at the University of Adelaide in 2011, he jointed the Department of Econometrics and Business Statistics, Monash University, as a research fellow. In 2015 he moved back to the Southwestern University of Finance and Economics, as a lecturer and then promoted to Associate Professor and then Full Professor. By the end of 2018 he jointed the current affiliation as a Professor in Econometrics.

Chaohua Dong's research interest includes high dimensional econometrics, non- and semiparametric methods, nonstationary time series, panel data models and applied microeconomics. He has published a series of papers in top tier international journals in the fields of econometrics and statistics; he also teach a number of courses at different levels from undergraduate to PhD including mathematical statistics, probability theory and mathematical statistics, introductory econometrics, nonparametric econometrics and selected lecture in the frontier of econometrics. In addition, he is a member of financial risk management council in China system engineering association.

Professor Jiti Gao is Donald Cochrane Chair of Business and Economics at the Monash Business School, and Professor of Econometrics and Statistics in the Department of Econometrics and Business Statistics at Monash University. Professor Jiti Gao was an Australian Professorial Fellow between January 2010-December 2014. Since September 2011, he becomes an Elected Fellow of the Academy of the Social Sciences in Australia. He is also an Elected Fellow of the International Association for Applied Econometrics and a named Fellow of The Journal of Econometrics. Currently, he is a Co-Editor of the World Scientific Book Series on Econometrics and Statistics, and on several editorial boards of leading international journals, such as Econometric Theory and Journal of Business and Economic Statistics.

Jiti Gao's recent research interests include Non- and Semi-Parametric Models and Methods, Nonlinear Time Series and Panel Data Econometrics. Since January 2000, he has published three books, four book chapters and over 100 articles by leading international journals in economics, econometrics, finance and statistics, including Annals of Statistics, Journal of Business and Economic Statistics, Journal of Econometrics, Journal of the American Statistical Association, and Journal of the Royal Statistical Society Series B.

Détails de l'édition

• Éditeur: Springer Nature Switzerland AG
• Date d'édition: 2025
• Langue: anglais
• ISBN 10: 9819628210
• ISBN 13: 9789819628216
• Reliure: Relié
• Nombre de pages: 385
• Coordonnées du fabricant: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Allemagne