A Pseudo-Likelihood Approach to Linear Regression With Partially Shuffled Data
Author:
Affiliation:
1. Department of Statistics, George Mason University, Fairfax, VA;
2. Department of Biostatistics & Bioinformatics, George Washington University, Washington, DC;
3. U.S. Census Center for Statistical Research & Methodology (CSRM), Washington, DC
Funder
Center for Hierarchical Manufacturing, National Science Foundation
NSF
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/10618600.2020.1870482
Reference48 articles.
1. Abid, A., Poon, A., and Zou, J. (2017), “Linear Regression With Shuffled Labels,” arXiv no. 1705.01342.
2. A Note on the Regression Analysis of Censored Data
3. On the problem of time jitter in sampling
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