4 citations · 13 across the 18 of their papers we have counts for
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math.ST2022★ 2 cited
Spectral Theory of Large Dimensional Random Matrices Applied to Signal Detection
J. W. Silverstein, P. L. Combettes
Results on the spectral behavior of random matrices as the dimension increases are applied to the problem of detecting the number of sources impinging on an array of sensors. A com…
math.ST2019
Regression models for compositional data: General log-contrast formulations, proximal optimization, and microbiome data applications
Patrick L. Combettes, Christian L. Müller
Compositional data sets are ubiquitous in science, including geology, ecology, and microbiology. In microbiome research, compositional data primarily arise from high-throughput seq…
math.ST2018
Perspective Maximum Likelihood-Type Estimation via Proximal Decomposition
Patrick L. Combettes, Christian L. Müller
We introduce an optimization model for maximum likelihood-type estimation (M-estimation) that generalizes a large class of existing statistical models, including Huber's concomitan…