Chapman and Hall/CRC, 2024. — 354 p. — ISBN-13: 978-1-003-40710-2.
This book presents the theory of
rational decisions involving the selection of stopping times in observed
discrete-time stochastic processes, both by single and multiple decision-makers. Readers will become acquainted with the models, strategies, and applications of these models.
It begins with an examination of selected models framed as stochastic optimization challenges, emphasizing the critical role of optimal stopping times in sequential statistical procedures. The authors go on to explore models featuring multiple stopping and shares on leading applications, particularly focusing on change point detection, selection problems, and the nuances of behavioral ecology.
In the following chapters, an array of perspectives on model strategies is presented, elucidating their interpretation and the methodologies underpinning their genesis. Essential notations and definitions are introduced, examining
general theorems about solution existence and structure, with an intricate analysis of optimal stopping predicaments and addressing crucial multilateral models. The reader is presented with the practical application of models based on multiple stopping within stochastic processes. The coverage includes a diverse array of domains,
including sequential statistics, finance, economics, and the broader generalization of the
best-choice problem. Additionally, it delves into numerical and asymptotic solutions, offering a comprehensive exploration of optimal stopping quandaries.
The book will be of interest to
researchers and practitioners in fields such as
economics, finance, and engineering. It could also be used by
graduate students doing a research degree in
insurance, economics or business analytics or an advanced undergraduate course in mathematical sciences.
Contributors.
Foreword.
List of Figures.
List of Tables.
Notations.
Preface on Multiple Stopping ModelsMotivation for the Multiple Stopping and Selected Application.
Multiple-stopping and stopping gamesMultiple Optimal Stopping Rules.
Multilateral Multiple-Stopping: Game Theory Approach.
Applications of Multiple-Stopping ModelsSequential Methods of Statistics.
Financial Applications.
The Best Choice Problems.
Numerical and Asymptotic Solutions for Optimal Stopping Problems.
Auxiliary and Supplementary MaterialA Uncertainty, Risk and Simulations.
B Optimal Stopping.
C Duality Based on Information Relaxations.
Bibliography
Acronyms
Glossary
Indices