De-noising analysis of noisy data under mixed graphical models-Reference-Cited by-同舟云学术

De-noising analysis of noisy data under mixed graphical models

Published:2022-01-01 Issue:2 Volume:16 Page:
ISSN:1935-7524
Container-title:Electronic Journal of Statistics
language:
Short-container-title:Electron. J. Statist.

Author:

Chen Li-Pang¹,Yi Grace Y.²

Affiliation:

1. Department of Statistics, National Chengchi University

2. Department Statistical and Actuarial Sciences, Department of Computer Science, University of Western Ontario

Publisher

Institute of Mathematical Statistics

Subject

Statistics and Probability,Statistics, Probability and Uncertainty

Reference37 articles.

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4. Carroll, R. J., Ruppert, D., Stefanski, L. A., and Crainiceanu, C. M. (2006). Measurement Error in Nonlinear Model. Chapman and Hall, New York.

5. Chen, S., Witten, D. M., and Shojaie, A. (2015). Selection and estimation for mixed graphical models. Biometrika, 102, 47–64.

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