3 citations · 4 across the 3 of their papers we have counts for
4 papers
The Nonparametric Kiefer-Weiss Problem
Michael Fauss, H. Vincent Poor, Abdelhak M. Zoubir
A nonparametric variant of the Kiefer-Weiss problem is proposed and solved. The objective is to minimize a weighted sum of the error probabilities of a binary sequential test subje…
Minimax Optimal Sequential Hypothesis Tests for Markov Processes
Michael Fauss, Abdelhak M. Zoubir, H. Vincent Poor
Under mild Markov assumptions, sufficient conditions for strict minimax optimality of sequential tests for multiple hypotheses under distributional uncertainty are derived. First,…
On the Equivalence of f-Divergence Balls and Density Bands in Robust Detection
Michael Fauss, Abdelhak M. Zoubir, H. Vincent Poor
The paper deals with minimax optimal statistical tests for two composite hypotheses, where each hypothesis is defined by a non-parametric uncertainty set of feasible distributions.…
Distributed Linear Parameter Estimation: Asymptotically Efficient Adaptive Strategies
Soummya Kar, Jose' M. F. Moura, H. Vincent Poor
The paper considers the problem of distributed adaptive linear parameter estimation in multi-agent inference networks. Local sensing model information is only partially available a…