Two-stage communication-efficient distributed sparse M-estimation with missing data
Sign Up to like & getrecommendations! Published in 2023 at "Statistics"
DOI: 10.1080/02331888.2023.2201505
Abstract: Distributed estimation based on different sources of observations has drawn attention in the modern statistical learning. When the distributed data are missing at random, we propose a two-stage -penalized communication-efficient surrogate likelihood (CSL) algorithm based… read more here.
Keywords: communication efficient; two stage; missing data; sparse estimation ... See more keywords
Balancing Application Relevant and Sparsity Revealing Excitation in Input Design
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2024.3472168
Abstract: The maximum absolute correlation between regressors, which is called mutual coherence, plays an essential role in sparse estimation. A regressor matrix whose columns are highly correlated may result from optimal input design, since there is… read more here.
Keywords: input; mutual coherence; input design; sparse estimation ... See more keywords
Blind Sparse Estimation of Intermittent Sources Over Unknown Fading Channels
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2019.2933996
Abstract: Radio frequency sources are observed at a fusion center via sensor measurements made over slow flat-fading channels. The number of sources may be larger than the number of sensors, but their activity is sparse and… read more here.
Keywords: blind sparse; estimation intermittent; sparse estimation; fading channels ... See more keywords