| Optimal subsampling for large sample logistic regression HY Wang, R Zhu, P Ma Journal of the American Statistical Association 113 (522), 829-844, 2018 | 268 | 2018 |
| Information-based optimal subdata selection for big data linear regression HY Wang, M Yang, J Stufken Journal of the American Statistical Association 114 (525), 393-405, 2019 | 212 | 2019 |
| Optimal subsampling for quantile regression in big data H Wang, Y Ma Biometrika 108 (1), 99-112, 2021 | 103 | 2021 |
| Frequentist model averaging estimation: a review H Wang, X Zhang, G Zou Journal of Systems Science and Complexity 22 (4), 732-748, 2009 | 102 | 2009 |
| Optimal subsampling algorithms for big data regressions M Ai, J Yu, H Zhang, HY Wang Statistica Sinica 31 (2), 749-772, 2021 | 90 | 2021 |
| Optimal distributed subsampling for maximum quasi-likelihood estimators with massive data J Yu, HY Wang, M Ai, H Zhang Journal of the American Statistical Association 117 (537), 265-276, 2022 | 88 | 2022 |
| More efficient estimation for logistic regression with optimal subsamples HY Wang Journal of machine learning research 20 (132), 1-59, 2019 | 86 | 2019 |
| Optimal subsampling for softmax regression Y Yao, HY Wang Statistical Papers 60, 585-599, 2019 | 59 | 2019 |
| Understanding the influence of climate change on the embodied energy of water supply W Mo, H Wang, JM Jacobs Water research 95, 220-229, 2016 | 52 | 2016 |
| Logistic regression for massive data with rare events HY Wang International Conference on Machine Learning, 9829-9836, 2020 | 34 | 2020 |
| Information-based optimal subdata selection for big data logistic regression Q Cheng, HY Wang, M Yang Journal of Statistical Planning and Inference 209, 112-122, 2020 | 33 | 2020 |
| Model averaging for varying-coefficient partially linear measurement error models H Wang, G Zou, ATK Wan | 33 | 2012 |
| Interval estimation by frequentist model averaging H Wang, SZF Zhou Communications in Statistics-Theory and Methods 42 (23), 4342-4356, 2013 | 31 | 2013 |
| A review on optimal subsampling methods for massive datasets Y Yao, HY Wang Journal of Data Science 19 (1), 151-172, 2021 | 30 | 2021 |
| Divide-and-conquer information-based optimal subdata selection algorithm HY Wang Journal of Statistical Theory and Practice 13 (3), 46, 2019 | 26 | 2019 |
| An online updating approach for testing the proportional hazards assumption with streams of survival data Y Xue, HY Wang, J Yan, ED Schifano Biometrics 76 (1), 171-182, 2020 | 24 | 2020 |
| Influences of water quality and climate on the water-energy nexus: A spatial comparison of two water systems S Stang, H Wang, KH Gardner, W Mo Journal of environmental management 218, 613-621, 2018 | 24 | 2018 |
| Distributed subdata selection for big data via sampling-based approach H Zhang, HY Wang Computational statistics & data analysis 153, 107072, 2021 | 22 | 2021 |
| Optimal subsampling algorithms for big data generalized linear models M Ai, J Yu, H Zhang, H Wang arXiv preprint arXiv:1806.06761, 2018 | 21 | 2018 |
| Adaptive LASSO for varying-coefficient partially linear measurement error models HY Wang, G Zou, ATK Wan Journal of Statistical Planning and Inference 143 (1), 40-54, 2013 | 20 | 2013 |
Marcin KozakFull Professor, University of Information Technology and Management in Rzeszow, PolandVerified email at wsiz.rzeszow.pl
