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Composite Hypothesis Tests for Detection of Modeling Misspecification
Ofir Krauz,
Joseph Tabrikian
Department of Electrical & Computer Engineering
Research output
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Contribution to journal
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Article
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peer-review
2
Scopus citations
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Dive into the research topics of 'Composite Hypothesis Tests for Detection of Modeling Misspecification'. Together they form a unique fingerprint.
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Keyphrases
Characteristic Function
100%
Composite Test
100%
Misspecification
100%
Model Misspecification
85%
Function Test
42%
Information Matrix Test
42%
Regularity Conditions
28%
Cramér-Rao Bound
28%
Popular
14%
Finite Difference
14%
Detection Method
14%
Signal Processing
14%
Probability Density Function
14%
Optimization Procedure
14%
Model Errors
14%
Continuously Differentiable Function
14%
Classification Problem
14%
Local Characteristics
14%
Inference Methods
14%
Function Matrix
14%
Frequency-dependent Selection
14%
Characteristic Information
14%
Information Matrix Equality
14%
Empirical Characteristic Function
14%
Model-based Signal Processing
14%
Mathematics
Composite Hypothesis
100%
Characteristic Function
100%
Hypothesis Test
100%
Misspecification
100%
Model Misspecification
85%
Information Matrix
57%
Signal Processing
28%
Regularity Condition
28%
Probability Density Function
14%
Assumed Model
14%
Classification Problem
14%
Inference Method
14%
Empirical Characteristic Function
14%
Computer Science
Hypothesis Test
100%
Characteristic Function
100%
Information Matrix
50%
Regularity Condition
25%
Popular Approach
12%
Classification Problem
12%
Probability Density Function
12%
Inference Method
12%