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Modern series methods in econometric...

Dong, Chaohua.

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Modern series methods in econometrics and statistics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modern series methods in econometrics and statistics/ by Chaohua Dong, Jiti Gao.
作者:	Dong, Chaohua.
其他作者:	Gao, Jiti.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xiii, 372 p. :ill. (chiefly color), digital ;24 cm.
內容註:	Motivations -- Series methods -- Applications of series methods -- Mathematical foundations.
Contained By:	Springer Nature eBook
標題:	Econometrics. -
電子資源:	https://doi.org/10.1007/978-981-96-2822-3
ISBN:	9789819628223

Modern series methods in econometrics and statistics
Dong, Chaohua.

Modern series methods in econometrics and statistics[electronic resource] /by Chaohua Dong, Jiti Gao. - Singapore :Springer Nature Singapore :2025. - xiii, 372 p. :ill. (chiefly color), digital ;24 cm. - Advanced studies in theoretical and applied econometrics,452214-7977 ;. - Advanced studies in theoretical and applied econometrics ;45..

Motivations -- Series methods -- Applications of series methods -- Mathematical foundations.

This book introduces modern series methods with a focus on applications in econometrics and statistics. It explores how new orthogonal series techniques can address challenges in model building and estimation, particularly for variables with unbounded support, nonparametric nonstationary data, and high-dimensional models. By extending traditional series methods, which are typically limited to variables with bounded supports, this book provides tools to tackle emerging problems in econometrics and statistics effectively. The book is organized into the following key parts. Part one provides the mathematical foundation for modern series methods, offering the theoretical background needed for their application. Part two introduces fundamental econometric concepts, including conditional expectations and regression models, within the context of modern series techniques. 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. With a balanced mix of theory and practical insights, this book is ideal for researchers, practitioners, and students looking to deepen their understanding of series methods and their applications in econometrics, statistics, and related fields.

ISBN: 9789819628223

Standard No.: 10.1007/978-981-96-2822-3doiSubjects--Topical Terms:

542934
Econometrics.

LC Class. No.: HB139 / .D66 2025

Dewey Class. No.: 330.015195

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