A competitive Neyman-Pearson approach to universal hypothesis testing with applications

E. Levitan; N. Merhav

doi:10.1109/tit.2002.800478

A competitive Neyman-Pearson approach to universal hypothesis testing with applications

IEEE Transactions on Information Theory ◽

10.1109/tit.2002.800478 ◽

2002 ◽

Vol 48 (8) ◽

pp. 2215-2229 ◽

Cited By ~ 21

Author(s):

E. Levitan ◽

N. Merhav

Keyword(s):

Hypothesis Testing ◽

Universal Hypothesis Testing

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Universal hypothesis testing in the learning-limited regime

2010 IEEE International Symposium on Information Theory ◽

10.1109/isit.2010.5513583 ◽

2010 ◽

Cited By ~ 5

Author(s):

Benjamin G. Kelly ◽

Thitidej Tularak ◽

Aaron B. Wagner ◽

Pramod Viswanath

Keyword(s):

Hypothesis Testing ◽

Universal Hypothesis Testing

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Generalized Error Exponents for Small Sample Universal Hypothesis Testing

IEEE Transactions on Information Theory ◽

10.1109/tit.2013.2283266 ◽

2013 ◽

Vol 59 (12) ◽

pp. 8157-8181 ◽

Cited By ~ 2

Author(s):

Dayu Huang ◽

Sean Meyn

Keyword(s):

Hypothesis Testing ◽

Small Sample ◽

Error Exponents ◽

Universal Hypothesis Testing

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Outlying sequence detection in large datasets: Comparison of universal hypothesis testing and clustering

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2016.7472865 ◽

2016 ◽

Cited By ~ 1

Author(s):

Yun Li ◽

Venugopal V Veeravalli

Keyword(s):

Hypothesis Testing ◽

Large Datasets ◽

Sequence Detection ◽

Universal Hypothesis Testing

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Asymptotical Optimality of Sequential Universal Hypothesis Testing Based on the Method of Types

IEEE Signal Processing Letters ◽

10.1109/lsp.2014.2333562 ◽

2014 ◽

Vol 21 (11) ◽

pp. 1316-1320 ◽

Cited By ~ 2

Author(s):

Yinfei Xu ◽

Qiao Wang

Keyword(s):

Hypothesis Testing ◽

Universal Hypothesis Testing ◽

Asymptotical Optimality

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