Results 311 to 320 of about 108,134 (338)

Covariance Matrix Estimation in High Dimensions

2013
Statistical structures start with covariance matrices. In practice, we must estimate the covariance matrix from the big data. One may think this chapter should be more basic than Chaps. 7 and 8—thus should be treated earlier chapters. Recent work on compressed sensing and low-rank matrix recovery supports the idea that sparsity can be exploited for ...
Robert Qiu, Michael Wicks
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Covariance Matrix Estimation

1999
Matthew J. Cushing, Mary G. McGarvey
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The biofilm matrix: multitasking in a shared space

Nature Reviews Microbiology, 2022
Hans-Curt Flemming, Eric D Van Hullebusch, Thomas R Neu   +2 more
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Robust Covariance Matrix Estimation using Random Matrix Theory

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023
Samruddhi Deshmukh, Amartansh Dubey, Ross Murch   +2 more
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Cell–extracellular matrix mechanotransduction in 3D

Nature Reviews Molecular Cell Biology, 2023
Aashrith Saraswathibhatla, Dhiraj Indana, Ovijit Chaudhuri   +2 more
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The matrix in cancer

Nature Reviews Cancer, 2021
Thomas Cox
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Extracellular vesicle–matrix interactions

Nature Reviews Materials, 2023
Ambar Rivera, Jae-won Shin
exaly  

High-Dimensional Covariance Matrix Estimation

2021
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Extracellular matrix-based materials for regenerative medicine

Nature Reviews Materials, 2018
George S Hussey, Stephen F Badylak
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Remodelling the extracellular matrix in development and disease

Nature Reviews Molecular Cell Biology, 2014
Jonathan Chou, Zena Werb
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