Probabilistic Programming
eBook - PDF

Probabilistic Programming

  1. 140 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Probabilistic Programming

About this book

Probabilistic Programming discusses a high-level language known as probabilistic programming. This book consists of three chapters. Chapter I deals with "wait-and-see problems that require waiting until an observation is made on the random elements, while Chapter II contains the analysis of decision problems, particularly of so-called two-stage problems. The last chapter focuses on "chance constraints, such as constraints that are not expected to be always satisfied, but only in a proportion of cases or "with given probabilities. This text specifically deliberates the decision regions for optimality, probability distributions, Kall's Theorem, and two-stage programming under uncertainty. The complete problem, active approach, quantile rules, randomized decisions, and nonzero order rules are also covered. This publication is suitable for developers aiming to define and automatically solve probability models.

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Yes, you can access Probabilistic Programming by S. Vajda, Z. W. Birnbaum,E. Lukacs in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2014
Print ISBN
9780127101507
eBook ISBN
9781483268378
Topic
Mathematics
Subtopic
Applied Mathematics
Index
Mathematics

Table of contents

  1. Front Cover
  2. Probabilistic Programming
  3. Copyright Page
  4. Table of Contents
  5. Introduction
  6. Chapter I. Stochastic Programming
  7. Chapter II. Decision Problems
  8. Chapter III. Chance Constraints
  9. Appendix I: Linear Programming and Duality
  10. Appendix II: Applications of Stochastic (Probabilistic) Programming in Various Fields (References)
  11. References
  12. Index