On the Restricted Neyman–Pearson Approach for Composite Hypothesis-Testing in Presence of Prior Distribution Uncertainty

DOI10.1109/TSP.2011.2153846zbMath1393.94652OpenAlexW2168741440MaRDI QIDQ4573272

Sinan Gezici, Suat Bayram

Publication date: 18 July 2018

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tsp.2011.2153846

Mathematics Subject Classification ID

Bayesian inference (62F15) Applications of mathematical programming (90C90) Information theory (general) (94A15)

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