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Elements of Information Theory Second Edition Solutions to Problems
Elements of Information Theory Second Edition Solutions to Problems

Computer arithmetic for probability distribution variables
Computer arithmetic for probability distribution variables

Symmetry Principles in Polyadic Inductive Logic
Symmetry Principles in Polyadic Inductive Logic

How to Delegate Computations: The Power of No
How to Delegate Computations: The Power of No

Physiological time-series analysis: what does regularity
Physiological time-series analysis: what does regularity

Introduction to Queueing Theory and Stochastic
Introduction to Queueing Theory and Stochastic

... Chapter 4 aims to assist the student to perform simulations of queueing systems. Simulations are useful and important in the many cases where exact analytical results are not available. An important learning objective of this book is to train students to perform queueing simulations. Chapter 5 provi ...
Introduction to Queueing Theory and Stochastic Teletraffic Models
Introduction to Queueing Theory and Stochastic Teletraffic Models

New Perspectives on the Complexity of Computational Learning, and Other
New Perspectives on the Complexity of Computational Learning, and Other

Probability Essentials. Springer, Berlin, 2004.
Probability Essentials. Springer, Berlin, 2004.

An Introduction to Statistical Signal Processing
An Introduction to Statistical Signal Processing

CUBULATING RANDOM GROUPS AT DENSITY LESS THAN 1/6
CUBULATING RANDOM GROUPS AT DENSITY LESS THAN 1/6

Reducing belief simpliciter to degrees of belief
Reducing belief simpliciter to degrees of belief

... qualitative description to be a coarse-grained version of the quantitative description: which qualitative description applies should depend only on what quantitative description applies, maybe supplemented by ...
WEAK AND STRONG LAWS OF LARGE NUMBERS FOR
WEAK AND STRONG LAWS OF LARGE NUMBERS FOR

Measure Theoretic Probability P.J.C. Spreij (minor revisions by S.G.
Measure Theoretic Probability P.J.C. Spreij (minor revisions by S.G.

On Sample-Based Testers - Electronic Colloquium on
On Sample-Based Testers - Electronic Colloquium on

here for U12 text. - Iowa State University
here for U12 text. - Iowa State University

... n this module, we investigate the reliability of a component that can be repaired. In contrast to nonrepairable components, modeling of repairable components requires use of a random process. We begin our effort in Section 12.2 by introducing renewal theory for the ordinary renewal process, as it is ...
Probability, Random Processes, and Ergodic Properties
Probability, Random Processes, and Ergodic Properties

... This book has been written for several reasons, not all of which are academic. This material was for many years the first half of a book in progress on information and ergodic theory. The intent was and is to provide a reasonably self-contained advanced treatment of measure theory, probability theor ...
Essentials of Stochastic Processes
Essentials of Stochastic Processes

... The Markov chains chapter has been reorganized. The chapter on Poisson processes has moved up from third to second, and is now followed by a treatment of the closely related topic of renewal theory. Continuous time Markov chains remain fourth, with a new section on exit distributions and hitting tim ...
Essentials of Stochastic Processes Rick Durrett Version
Essentials of Stochastic Processes Rick Durrett Version

On Worst-Case to Average-Case Reductions for NP Problems
On Worst-Case to Average-Case Reductions for NP Problems

... key. Lempel [Lem79] later showed that the same cryptosystem can in fact be broken on most keys. Therefore, the NP hardness of breaking a cryptosystem in the worst case does not in general have any implications for cryptographic security. The gap between worst-case and average-case hardness is even m ...
7. Probability and Statistics Soviet Essays
7. Probability and Statistics Soviet Essays

Measure Theoretic Probability P.J.C. Spreij
Measure Theoretic Probability P.J.C. Spreij

Chap 4 from Ross
Chap 4 from Ross

Probabilistic Approach to Inverse Problems
Probabilistic Approach to Inverse Problems

Dennis Volpano Georey Smith Computer Science Department School of Computer Science
Dennis Volpano Georey Smith Computer Science Department School of Computer Science

1 2 3 4 5 ... 31 >

Conditioning (probability)

Beliefs depend on the available information. This idea is formalized in probability theory by conditioning. Conditional probabilities, conditional expectations and conditional distributions are treated on three levels: discrete probabilities, probability density functions, and measure theory. Conditioning leads to a non-random result if the condition is completely specified; otherwise, if the condition is left random, the result of conditioning is also random.This article concentrates on interrelations between various kinds of conditioning, shown mostly by examples. For systematic treatment (and corresponding literature) see more specialized articles mentioned below.
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