描述
Amir Dembo and Ofer Zeitouni explore the fascinating domain of large deviations, offering insights that are essential for tackling complex problems in statistics and probability. Their work articulates the robust mathematical framework surrounding large deviation principles, crucial for understanding the behavior of rare events.
Throughout the text, the authors delve into various applications of these techniques, demonstrating their relevance across disciplines, including information theory, statistical physics, and risk assessment. The depth of their analysis provides a valuable resource for researchers and practitioners alike, fostering an appreciation for the intricate interplay between probability theory and practical application.
With clarity and precision, Dembo and Zeitouni equip readers with the tools necessary to navigate the challenges posed by large deviations. Their blend of rigorous theory and real-world applications renders this work a significant contribution to the field.
Throughout the text, the authors delve into various applications of these techniques, demonstrating their relevance across disciplines, including information theory, statistical physics, and risk assessment. The depth of their analysis provides a valuable resource for researchers and practitioners alike, fostering an appreciation for the intricate interplay between probability theory and practical application.
With clarity and precision, Dembo and Zeitouni equip readers with the tools necessary to navigate the challenges posed by large deviations. Their blend of rigorous theory and real-world applications renders this work a significant contribution to the field.
书籍详情
格式
Kindle
页数
412 页
语言
英语
已发布
Nov 3, 2009
出版商
Springer
版本
3 editions
ISBN-10
3642033113
ISBN-13
9783642033117