Quantile Regression of Ultra-high Dimensional Partially Linear Varying-coefficient Model with Missing Observations
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,General Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s10114-023-0667-3.pdf
Reference37 articles.
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3. Bühlmann, P., van de Geer, S.: Statistics for High-Dimensional Data, Springer, Berlin-Heidelberg, 2011
4. Fan, G. L., Liang, H. Y., Shen, Y.: Penalized empirical likelihood for high-dimensional partially linear varying coefficient model with measurement errors. J. Multivariate Anal., 147, 183–201 (2016)
5. Fan, G. L., Liang, H. Y., Zhu, L. X.: Penalized profile least squares-based statistical inference for varying coefficient partially linear errors-in-variables models. Sci. China Math., 61(9), 1677–1694 (2018)
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