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A Sequential Framework for Composite Hypothesis Testing
Shahar Bar,
Joseph Tabrikian
Department of Electrical & Computer Engineering
Research output
:
Contribution to journal
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Article
›
peer-review
4
Scopus citations
Overview
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Dive into the research topics of 'A Sequential Framework for Composite Hypothesis Testing'. Together they form a unique fingerprint.
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Keyphrases
Sequence Framework
100%
Composite Test
100%
Generalized Sequential Probability Ratio Test
100%
Model Selection
66%
Performance Measures
66%
Exponential Growth
33%
Selection Problem
33%
Asymptotic Optimality
33%
Classification Problem
33%
Maximum a Posteriori Probability Criterion
33%
Nested Model
33%
GSPRT
33%
Sequential Test
33%
Average Sample number
33%
Sequential Probability Ratio Test
33%
Sequential Hypothesis Testing
33%
Nested Case
33%
Bayesian Information Criterion
33%
Mathematics
Probability Theory
100%
Statistical Hypothesis Testing
100%
Composite Hypothesis
100%
Ratio Test
80%
Asymptotics
40%
Performance Measure
40%
Optimality
20%
Sample Average
20%
Nested Case
20%
Bayesian
20%
Posteriori
20%
Exponential Growth
20%
Sequential Test
20%
Bayesian Information Criterion
20%
Nested Model
20%