Sparse Minimum Discrepancy Approach to Sufficient Dimension Reduction with Simultaneous Variable Selection in Ultrahigh Dimension
Author:
Affiliation:
1. Department of Applied Economics and Statistics, University of Delaware, Newark, DE
2. School of Statistics, University of Minnesota, Minneapolis, MN
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/01621459.2018.1497498
Reference62 articles.
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4. Statistics for High-Dimensional Data
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