Justin Hall Shows

Works (1)

Updated: July 5th, 2023 15:48

2010 article

Sparse estimation and inference for censored median regression

Shows, J. H., Lu, W., & Zhang, H. H. (2010, February 5). Journal of Statistical Planning and Inference, Vol. 140, pp. 1903–1917.

By: J. Shows n, W. Lu n  & H. Zhang n

author keywords: Censored quantile regression; LASSO; Inverse censoring probability; Solution path
topics (OpenAlex): Statistical Methods and Inference; Statistical Methods and Bayesian Inference; Advanced Causal Inference Techniques
TL;DR: This paper proposes a new procedure to minimize an inverse-censoring-probability weighted least absolute deviation loss subject to the adaptive LASSO penalty and result in a sparse and robust median estimator and proposes a resampling method to estimate the variance of the estimator. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

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