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ORCIDHaiYing Wang 0004
Person information
- affiliation: University of Connecticut, Department of Statistics, Storrs, CT, USA
- affiliation (PhD 2013): University of Missouri, Department of Statistic, Columbia, MO, USA
- affiliation (until 2009): Chinese Academy of Sciences, Academy of Mathematics and Systems Science, Beijing, China
Other persons with the same name
- Haiying Wang (aka: Hai-Ying Wang, HaiYing Wang) — disambiguation page
- Haiying Wang 0001
![[0000-0001-8358-9065]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8358-9065")
(aka: Hai-Ying Wang 0001) — Ulster University, School of Computing, UK - Haiying Wang 0002 — China University of Geosciences, School of Science, Beijing, China
- Haiying Wang 0003 — Chang'an University, School of Construction Machinery, Xian, China
- Haiying Wang 0005 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing, China
- Haiying Wang 0006 — University of Shanghai for Science and Technology, Business School, Shanghai, China (and 1 more)
- Haiying Wang 0007 — University of Alberta, Department of Computing Science, Edmonton, Canada
- Haiying Wang 0008 — Harbin University of Science and Technology, School of Automation, Harbin, China
- Haiying Wang 0009 — Reservoir Engineering Research Institute, Palo Alto, CA, USA (and 1 more)
- Haiying Wang 0010 — Henan University, College of Environment and Planning, Research Institute of Urban Big Data, Kaifeng, China
- Haiying Wang 0011 — Northeastern University, School of Business Administration, Department of Management Science and Engineering, Shenyang, China
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2020 – today
- 2024
[j11]Haixiang Zhang, Lulu Zuo, HaiYing Wang, Liuquan Sun:
Approximating Partial Likelihood Estimators via Optimal Subsampling. J. Comput. Graph. Stat. 33(1): 276-288 (2024)- 2023
- [j10]Yaqiong Yao, Jiahui Zou, Haiying Wang:
Optimal Poisson Subsampling for Softmax Regression. J. Syst. Sci. Complex. 36(4): 1609-1625 (2023) - 2022
- [j9]HaiYing Wang, Jae Kwang Kim:
Maximum sampled conditional likelihood for informative subsampling. J. Mach. Learn. Res. 23: 332:1-332:50 (2022) - [j8]Jing Wang, Jiahui Zou, HaiYing Wang:
Sampling With Replacement vs Poisson Sampling: A Comparative Study in Optimal Subsampling. IEEE Trans. Inf. Theory 68(10): 6605-6630 (2022) - [i5]Jing Wang, Jiahui Zou, HaiYing Wang:
Sampling with replacement vs Poisson sampling: a comparative study in optimal subsampling. CoRR abs/2205.08588 (2022) - 2021
- [j7]Haixiang Zhang, HaiYing Wang:
Distributed subdata selection for big data via sampling-based approach. Comput. Stat. Data Anal. 153: 107072 (2021) - [j6]Lulu Zuo, Haixiang Zhang, HaiYing Wang, Liuquan Sun:
Optimal subsample selection for massive logistic regression with distributed data. Comput. Stat. 36(4): 2535-2562 (2021) - [j5]Haiying Wang, Dixin Zhang, Hua Liang, David Ruppert:
Iterative Likelihood: A Unified Inference Tool. J. Comput. Graph. Stat. 30(4): 920-933 (2021) - [j4]Guanyu Hu, Haiying Wang:
Most Likely Optimal Subsampled Markov Chain Monte Carlo. J. Syst. Sci. Complex. 34(3): 1121-1134 (2021) - [c2]HaiYing Wang, Jiahui Zou:
A comparative study on sampling with replacement vs Poisson sampling in optimal subsampling. AISTATS 2021: 289-297 - 2020
- [j3]JooChul Lee, HaiYing Wang, Elizabeth D. Schifano:
Online updating method to correct for measurement error in big data streams. Comput. Stat. Data Anal. 149: 106976 (2020) - [c1]Haiying Wang:
Logistic Regression for Massive Data with Rare Events. ICML 2020: 9829-9836 - [i4]Jun Yu, HaiYing Wang, Mingyao Ai, Huiming Zhang:
Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators with Massive Data. CoRR abs/2005.10435 (2020) - [i3]HaiYing Wang:
Logistic Regression for Massive Data with Rare Events. CoRR abs/2006.00683 (2020) - [i2]Haim Bar, HaiYing Wang:
Reproducible Science with LaTeX. CoRR abs/2010.01482 (2020) - [i1]HaiYing Wang, Jae Kwang Kim:
Maximum sampled conditional likelihood for informative subsampling. CoRR abs/2011.05988 (2020)
2010 – 2019
- 2019
- [j2]HaiYing Wang:
More Efficient Estimation for Logistic Regression with Optimal Subsamples. J. Mach. Learn. Res. 20: 132:1-132:59 (2019)
2000 – 2009
- 2009
- [j1]Haiying Wang, Xinyu Zhang, Guohua Zou:
Frequentist model averaging estimation: a review. J. Syst. Sci. Complex. 22(4): 732-748 (2009)
Coauthor Index
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