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Zhonglei Wang In analyzing big data for finite population inference, it is critical to adjust for the selection bias in the big data. In this paper, we propose two methods of reducing the ...
Jul 28, 2015 · View Zhonglei Wang’s profile on LinkedIn, a professional community of 1 billion members. Graduate from Brown University and software engineer at Google<br><br> • Project ...
- Microsoft
Nov 2022. Zhonglei Wang. GS-441524, an RNA‐dependent RNA polymerase (RdRp) inhibitor, is a 1′-CN-substituted adenine C-nucleoside analog with broad-spectrum antiviral activity. However, the ...
Wang, Z, Peng, L., and Kim, J.K. (2022), Bootstrap Inference for the Finite Population Mean under Complex Sampling Designs, Journal of the Royal Statistical Society Series B (Statistical Methodology), 84(4), 1150-1174.
Wang, Z, Peng, L., and Kim, J.K. (2022), Bootstrap Inference for the Finite Population Mean under Complex Sampling Designs, Journal of the Royal Statistical Society Series B (Statistical Methodology), 84(4), 1150-1174.
Apr 20, 2022 · Functional Calibration under Non-Probability Survey Sampling. Zhonglei Wang, Xiaojun Mao, Jae Kwang Kim. Non-probability sampling is prevailing in survey sampling, but ignoring its selection bias leads to erroneous inferences. We offer a unified nonparametric calibration method to estimate the sampling weights for a non-probability sample by ...
Jun 9, 2014 · Zhonglei Wang School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, China Liyan Yang College of Science, China University of Petroleum, Beijing, China Xiuwei Yang School of Pharmaceutical Sciences, Peking University, Beijing, China Correspondence xiuwyang@Sina.com
