9789401537131-9401537135-Bandit problems: Sequential Allocation of Experiments (Monographs on Statistics and Applied Probability)

Bandit problems: Sequential Allocation of Experiments (Monographs on Statistics and Applied Probability)

ISBN-13: 9789401537131
ISBN-10: 9401537135
Edition: Softcover reprint of the original 1st ed. 1985
Author: Berry, Donald A., Fristedt, Bert
Publication date: 2013
Publisher: Springer
Format: Paperback 283 pages
FREE shipping on ALL orders

Book details

ISBN-13: 9789401537131
ISBN-10: 9401537135
Edition: Softcover reprint of the original 1st ed. 1985
Author: Berry, Donald A., Fristedt, Bert
Publication date: 2013
Publisher: Springer
Format: Paperback 283 pages

Summary

Acknowledged authors Berry, Donald A., Fristedt, Bert wrote Bandit problems: Sequential Allocation of Experiments (Monographs on Statistics and Applied Probability) comprising 283 pages back in 2013. Textbook and eTextbook are published under ISBN 9401537135 and 9789401537131. Since then Bandit problems: Sequential Allocation of Experiments (Monographs on Statistics and Applied Probability) textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

Our purpose in writing this monograph is to give a comprehensive treatment of the subject. We define bandit problems and give the necessary foundations in Chapter 2. Many of the important results that have appeared in the literature are presented in later chapters; these are interspersed with new results. We give proofs unless they are very easy or the result is not used in the sequel. We have simplified a number of arguments so many of the proofs given tend to be conceptual rather than calculational. All results given have been incorporated into our style and notation. The exposition is aimed at a variety of types of readers. Bandit problems and the associated mathematical and technical issues are developed from first principles. Since we have tried to be comprehens ive the mathematical level is sometimes advanced; for example, we use measure-theoretic notions freely in Chapter 2. But the mathema tically uninitiated reader can easily sidestep such discussion when it occurs in Chapter 2 and elsewhere. We have tried to appeal to graduate students and professionals in engineering, biometry, econ omics, management science, and operations research, as well as those in mathematics and statistics. The monograph could serve as a reference for professionals or as a telA in a semester or year-long graduate level course.

Rate this book Rate this book

We would LOVE it if you could help us and other readers by reviewing the book