Graphical Model Inference with Erosely Measured Data-Reference-Cited by-同舟云学术

Graphical Model Inference with Erosely Measured Data

Published:2023-09-12 Issue: Volume: Page:1-12
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Zheng Lili¹,Allen Genevera I.¹²³⁴⁵

Affiliation:

1. Department of Electrical and Computer Engineering, Rice University, Houston, TX

2. Department of Computer Science, Rice University, Houston, TX

3. Department of Statistics, Rice University, Houston, TX

4. Department of Pediatrics-Neurology, Baylor College of Medicine, Houston, TX

5. Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital

Funder

NSF

NIH

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2023.2256503

Reference51 articles.

1. Allen, G. I., and Liu, Z. (2012), “A Log-Linear Graphical Model for Inferring Genetic Networks from High-throughput Sequencing Data,” in 2012 IEEE International Conference on Bioinformatics and Biomedicine, IEEE, pp. 1–6.

2. Bae J. A. Baptiste M. Bodor A. L. Brittain D. Buchanan J. Bumbarger D. J. Castro M. A. Celii B. Cobos E. Collman F. et al. (2021) “Functional Connectomics Spanning Multiple Areas of Mouse Visual Cortex ” BioRxiv .

3. Controlling the false discovery rate via knockoffs

4. Belloni A. Chernozhukov V. and Kaul A. (2017) “Confidence Bands for Coefficients in High Dimensional Linear Models with Error-in-Variables ” arXiv preprint arXiv:1703.00469 .

5. Structured Matrix Completion with Applications to Genomic Data Integration