Abstract: The paper deals with minimax optimal statistical tests for two composite hypotheses, where each hypothesis is defined by a nonparametric ...

The paper deals with minimax optimal statistical tests for two composite hypotheses, where each hypothesis is defined by a nonparametric uncertainty set of ...

Apr 16, 2018 · The paper deals with minimax optimal statistical tests for two composite hypotheses, where each hypothesis is defined by a non-parametric ...

This paper considers robust point estimation of θ from the point of view of conditional inference. Specific measures of the conditional robustness of a location ...

On the Equivalence of $f$-Divergence Balls and Density Bands in Robust Detection. Michael Fauss, A. Zoubir, H. Poor. 2018, IEEE International Conference on ...

Apr 15, 2018 · The paper deals with minimax optimal statistical tests for two composite hypotheses, where each hypothesis is defined by a nonparametric ...

Dive into the research topics of 'On the equivalence of f-Divergence balls and density bands in robust detection'. Together they form a unique fingerprint. Sort ...

On the Equivalence of $f$-Divergence Balls and Density Bands in Robust Detection. Michael Fauss, A. Zoubir, H. Poor. 2018 IEEE International Conference on ...

Oct 7, 2024 · On the Equivalence of $f$-Divergence Balls and Density Bands in Robust Detection. ICASSP 2018: 4399-4403. [c8]. view. electronic edition via ...

The density band model proposed by Kassam [1] for robust hypothesis testing is revisited. First, a novel criterion for the general characterization of least ...