Computational probability : algorithms and applications in the mathematical sciences

"This focuses on the developing field of building probability models with the power of symbolic algebra systems. The book combines the uses of symbolic algebra with probabilistic/stochastic application and highlights the applications in a variety of contexts. The research explored in each chapt...

Full description

Saved in:
Bibliographic Details
Main Authors: Drew, John H., Evans, Diane L. 1954- (Author), Glen, Andrew G., (Author), Leemis, Lawrence M., (Author)
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, [2017]
Edition: Second edition.
Series: International series in operations research & management science ; v. 246.
Subjects:
ISBN: 9783319433233
9783319433219
Physical Description: 1 online resource

Cover

Table of contents

Description
Summary: "This focuses on the developing field of building probability models with the power of symbolic algebra systems. The book combines the uses of symbolic algebra with probabilistic/stochastic application and highlights the applications in a variety of contexts. The research explored in each chapter is unified by the use of A Probability Programming Language (APPL) to achieve the modeling objectives. APPL, as a research tool, enables a probabilist or statistician the ability to explore new ideas, methods, and models. Furthermore, as an open-source language, it sets the foundation for future algorithms to augment the original code. Computational Probability Applications is comprised of fifteen chapters, each presenting a specific application of computational probability using the APPL modeling and computer language. The chapter topics include using inverse gamma as a survival distribution, linear approximations of probability density functions, and also moment-ratio diagrams for univariate distributions. These works highlight interesting examples, often done by undergraduate students and graduate students that can serve as templates for future work. In addition, this book should appeal to researchers and practitioners in a range of fields including probability, statistics, engineering, finance, neuroscience, and economics"--Provided by publisher.
Bibliography: Includes bibliographical references and index.
ISBN: 9783319433233
9783319433219
Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty