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.
| ISBN: | 9783319433158 |
| Publication date: | 16th December 2016 |
| Author: | Andrew G Glen, Lawrence M Leemis |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Hardback |
| Pagination: | 256 pages |
| Series: | International Series in Operations Research & Management Science |
| Genres: |
Operational research Stochastics Management decision making Mathematical and statistical software Probability and statistics |
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.
Computational Probability Applications features in the following genres: Operational research, Stochastics, Management decision making, Mathematical and statistical software, Probability and statistics
Hardback. Not Available.
Computational Probability Applications was written by Andrew G Glen, Lawrence M Leemis and published by Springer an imprint of Springer International Publishing
Computational Probability Applications has 256 pages
Yes it is part of International Series in Operations Research & Management Science series