A. M. Zoubir, V. Koivunen, E. Ollila, and M. Muma.
Robust Statistics for Signal Processing
Cambridge University Press, 2018
Understand the benefits of robust statistics for signal processing with this authoritative yet accessible text. The first ever book on the subject, it provides a comprehensive overview of the field, moving from fundamental theory through to important new results and recent advances. Topics covered include advanced robust methods for complex-valued data, robust covariance estimation, penalized regression models, dependent data, robust bootstrap, and tensors.
J. Machkour, M. Muma and D. P. Palomar
The Terminating-Random Experiments Selector: Fast High-Dimensional Variable Selection with False Discovery Rate Control
Under Review in: IEEE Transactions on Signal Processing (2023), https://arxiv.org/abs/2110.06048
In: Signal Processing 182 (2021), p. 107870
In: IEEE Transactions on Signal Processing 66.3 (Feb. 2018), pp. 682–697