Computational Probability Applications

Name: Computational Probability Applications
Brand: Springer International Publishing AG
SKU: 9783319433158
Price: 2286 CZK
Availability: InStock

Autor: Andrew G. Glen, Lawrence M. Leemis

Jazyk:

Vazba: Pevná

Vydavatel: Springer International Publishing AG

Dostupnost: Skladem u dodavatele

Odesíláme za 10-13 dnů

2 286 Kč

This focuses on the developing field of building probability models with the power of symbolic algeb...

Informace o knize

Autor

Andrew G. Glen, Lawrence M. Leemis

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2016

Stránek

256

EAN

9783319433158

ISBN

3319433156

Enbook ID

13496574

Vydavatel

Springer International Publishing AG

Hmotnost

5266

Rozměry

155 x 235 x 21

Kompletní popis

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. § Applications in Computational Probability 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.

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Computational Probability Applications

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