Formalized probability theory and applications using theorem proving
"This book discusses some of the limitations inherent in computer systems when applied to problems of probabilistic analysis, and presents a novel solution to these limitations, combining higher-order logic with computer-based theorem proving"--
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| Main Author | |
|---|---|
| Other Authors | |
| Format | Electronic eBook |
| Language | English |
| Published |
Hershey, PA :
Information Science Reference, an imprint of IGI Global,
[2015]
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9781466683174 1466683171 9781466683150 9781466683167 1466683163 9781680157338 1680157337 1466683155 |
| Physical Description | 1 online resource (xii, 298 pages) |
Cover
Table of Contents:
- Probabilistic analysis
- Formal verification methods
- Probabilistic analysis using theorem proving
- Measure theory and Lebesgue integration theories
- Probability theory
- Discrete-time Markov chains in HOL
- Classified discrete-time Markov chains
- Formalization of hidden Markov model
- Information measures
- Formal analysis of information flow using min-entropy and belief min-entropy
- Applications of formalized information theory
- Reliability theory
- Scheduling algorithm for wireless sensor networks
- Formal probabilistic analysis of detection properties in wireless sensor networks.