Haiying Wang
Associate Professor/Statistics

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Scholarly Contributions

32 Scholarly Contributions

21
Journal Articles
6
Poster/Presentations
4
Conference Proceedings
1
Other Scholarly Work
Online Updating Method to Correct for Measurement Error in Big Data Streams
2020
Haiying Wang, JooChul Lee, Elizabeth Schifano
Research Type: Journal Article

Optimal Subsampling for Large Sample Logistic Regression
2018
Rong Zhu, Ping Ma, Haiying Wang
Research Type: Journal Article

Optimal design for the bounded log-linear regression model
Andrey Pepelyshev, Haiying Wang, Nancy Flournoy
Research Type: Conference Proceedings

Optimized Subsampling for Logistic Regression with Imbalanced Large Datasets
Helmut SCHAEBEN, Haiying Wang, Franziska Keidel
Research Type: Conference Proceedings

Regression analysis of longitudinal data with correlated censoring and observation times
2016
Xin He, Jianguo Sun, Yang Li, Haiying Wang
Research Type: Journal Article

Sampling procedures for inspection by attributes-Part 3: Skip-lot sampling procedures
2008
Haiying Wang, Yuzhong Chen, Zhenfan Yu, Shiyong Feng, Hui Xiao, Wenxing Ding, Yuzhu Zhang
Research Type: Other Scholarly Work

Semiparametric regression of multivariate panel count data with informative observation times
2015
Jianguo Sun, Haiying Wang, Bin Zhang, Xin He, Yang Li
Research Type: Journal Article

Statistical Inference for Big Data via Optimal Subsampling
2018
Haiying Wang
Research Type: Poster/Presentation

Survival Analysis for Big Data in Streams
2018
Jun Yan, Haiying Wang, Elizabeth Schifano, Yishu Xue, Ming-Hui Chen, Jing Wu
Research Type: Poster/Presentation

The Focused and Model Average Estimation for Panel Count Data
2013
Haiying Wang
Research Type: Poster/Presentation

The focused information criterion for varying-coefficient partially linear measurement error models
2016
Nancy Flournoy, Haiying Wang, Xinjie Chen
Research Type: Journal Article

Understanding the influence of climate change on the embodied energy of water supply
2016
Haiying Wang, Jennifer M Jacobs, Weiwei Mo
Research Type: Journal Article