Tao Wang's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
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DOI: 10.1111/rssa.12922
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References listed on IDEAS
- Bo Kai & Runze Li & Hui Zou, 2010. "Local composite quantile regression smoothing: an efficient and safe alternative to local polynomial regression," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(1), pages 49-69, January.
- Aman Ullah & Tao Wang & Weixin Yao, 2022.
"Nonlinear modal regression for dependent data with application for predicting COVID‐19,"
Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1424-1453, July.
- Aman Ullah & Tao Wang & Weixin Yao, 2022. "Nonlinear Modal Regression for Dependent Data with Application for Predicting COVID-19," Working Papers 202207, University of California at Riverside, Department of Economics.
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