Information, weight of evidence, the singularity between probability measures and signal detection
Enregistré dans:
| Auteurs principaux: | , |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Collection: | Lecture notes in mathematics
376 |
| Sujets: | |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Information, weight of evidence, the singularity between probability measures and signal detection, David Bridston Osteyee,... Irving John Good,..., 1974, Berlin, Springer, 1 vol. (XI-156 p.), Lecture notes in mathematics, 0-387-06726-4 • Information, Weight of Evidence. The Singularity Between Probability Measures and Signal Detection, Texte imprimé, 9783662196663 |
Table des matières:
- List of symbols
- Information in events and weight of evidence
- Entropy
- Singularity between two probability measures
- Expected mutual information
- Expected weight of evidence
- Divergence
- Expected mutual information, expected weight of evidence, and divergence for random processes
- Relationships between certain random processes and the singularity between probability measures
- Other expressions for expected mutual information
- Expressing expected weight of evidence for gaussian generalized processes in terms of integral operators
- Comparison between I(RT:ST), WT(HN/HS+N), and JT(N, S+N) for gaussian signals and noise
- Expected mutual information rate
- Rate of expected weight of evidence
- Gaussian processes with equal covariance functions including nonrandom signals in gaussian noise
- Summary of the major results in this survey for gaussian processes, including gaussian signals and noise
- Conclusions and areas for additional research.