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Marginal likelihood for estimation and detection theory
Yair Noam
,
Joseph Tabrikian
Department of Electrical & Computer Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
14
Scopus citations
Overview
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Dive into the research topics of 'Marginal likelihood for estimation and detection theory'. Together they form a unique fingerprint.
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Keyphrases
Estimation Theory
100%
Detection Theory
100%
Asymptotic Distribution
100%
Generalized Likelihood Ratio Test
100%
Marginal Maximum Likelihood
100%
Log-likelihood Ratio Test
100%
Marginal Likelihood
100%
Generalized Sums
100%
Maximum Likelihood Estimator
50%
Signal Processing
50%
Regularity Conditions
50%
Maximum Likelihood
50%
Actual Model
50%
M-dependent
50%
Signal Sample
50%
Asymptotic Performance
50%
Marginal Likelihood Function
50%
Mathematics
Likelihood Ratio Test
100%
Marginal Likelihood
100%
Maximum Likelihood
75%
Generalized Likelihood Ratio
50%
Log Likelihood Ratio
50%
Maximum Likelihood Estimator
25%
Asymptotics
25%
Regularity Condition
25%
Marginal Likelihood Function
25%
Sample Distribution
25%
Signal Processing
25%
Medicine and Dentistry
Maximum Likelihood Method
100%