Abstract
We survey a series of investigations of optimal testing of multiple hypotheses concerning various multiobject models. These studies are a prominent instance of application of methods and techniques developed in Shannon information theory for solution of typical statistical problems. © Springer-Verlag Berlin Heidelberg 2013.
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APA
Haroutunian, E., & Hakobyan, P. (2013). Multiple objects: Error exponents in hypotheses testing and identification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7777, pp. 313–345). Springer Verlag. https://doi.org/10.1007/978-3-642-36899-8_14
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