Information, weight of evidence, the singularity between probability measures and signal detection
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Bibliographic Information
Information, weight of evidence, the singularity between probability measures and signal detection
（Lecture notes in mathematics, v. 376）
Springer-Verlag, 1974
- : Germany
- : U.S.
Available at / 77 libraries
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Library, Research Institute for Mathematical Sciences, Kyoto University数研
: GermanyL/N||LNM||3762047479
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Hokkaido University, Library, Graduate School of Science, Faculty of Science and School of Science研究室
: Germany519/OS72020846590
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Note
Bibliography: p. 131-147
Includes indexes
Description and Table of Contents
Table of Contents
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.
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