HaiYing Wang

Orcid: 0000-0001-7729-0243

Affiliations:
  • University of Connecticut, Department of Statistics, Storrs, CT, USA
  • University of Missouri, Department of Statistic, Columbia, MO, USA (PhD 2013)
  • Chinese Academy of Sciences, Academy of Mathematics and Systems Science, Beijing, China (until 2009)


According to our database1, HaiYing Wang authored at least 14 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Optimal Poisson Subsampling for Softmax Regression.
J. Syst. Sci. Complex., August, 2023

2022
Sampling With Replacement vs Poisson Sampling: A Comparative Study in Optimal Subsampling.
IEEE Trans. Inf. Theory, 2022

Maximum sampled conditional likelihood for informative subsampling.
J. Mach. Learn. Res., 2022

2021
Most Likely Optimal Subsampled Markov Chain Monte Carlo.
J. Syst. Sci. Complex., 2021

Iterative Likelihood: A Unified Inference Tool.
J. Comput. Graph. Stat., 2021

Optimal subsample selection for massive logistic regression with distributed data.
Comput. Stat., 2021

Distributed subdata selection for big data via sampling-based approach.
Comput. Stat. Data Anal., 2021

A comparative study on sampling with replacement vs Poisson sampling in optimal subsampling.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Online updating method to correct for measurement error in big data streams.
Comput. Stat. Data Anal., 2020

Reproducible Science with LaTeX.
CoRR, 2020

Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators with Massive Data.
CoRR, 2020

Logistic Regression for Massive Data with Rare Events.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
More Efficient Estimation for Logistic Regression with Optimal Subsamples.
J. Mach. Learn. Res., 2019

2009
Frequentist model averaging estimation: a review.
J. Syst. Sci. Complex., 2009


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