Baisuo Jin, Jialiang Li

Gebundenes Buch

Change Point Analysis

Theory and Application

Beschreibung

A crucial statistical technique for detecting structural breaks within datasets, applicable in diverse fields such as finance and weather forecasting.

Autor

Baisuo Jin is a professor at University of Science and Technology of China. His research fields include spatial statistics, random matrix and change point. His research works have been accepted for publication in premium journals including The Proceedings of the National Academy of Sciences (PNAS), The Annals of Statistics, and Biometrika. Jialiang Li is a professor at Department of Statistics and Data Science, National University of Singapore. He was elected as Elected Member of International Statistical Institute (ISI) in 2019, Fellow of American Statistical Association (ASA) in 2020 and Fellow of Institute of Mathematical Statistics (IMS) in 2022. He has served on the editorial board for Annals of Applied Statistics, Annual Review of Statistics and Its Application, Biometrics, Biostatistics & Epidemiology, Lifetime Data Analysis and Statistical Methods in Medical Research.

Produktdetails

• Verlag: Chapman and Hall/CRC
• Seitenzahl: 250
• Erscheinungstermin: 29. August 2025
• Englisch
• Abmessung: 260mm x 183mm x 18mm
• Gewicht: 672g
• ISBN-13: 9781032649047
• ISBN-10: 1032649046
• Artikelnr.: 73531499