Lijia WANG, 王麗嘉
Assistant Professor · CityUHK Scholars (Profiles) · City University of Hong Kong
Quick answer: Lijia WANG, 王麗嘉 is Assistant Professor at City University of Hong Kong. Lijia WANG, 王麗嘉 shows an active PhD hiring signal as of 2026-10-19.
⭐ Accepting PhD Students. I am looking for highly motivated Ph.D. students with a background in statistics, mathematics, or related fields. If you are interested, please send your CV and transcript(s) to lijiwang@cityu.edu.hk. I look forward to receiving your application.
Research interests
Network data analysis; Asymmetric error control; Statistical learning; statistical network modeling and asymmetric error control, spanning topics such as local community detection, social network analysis, optimal testing procedures, confidence intervals, and Neyman–Pearson classification
Selected publications (since 2023)
[2024] Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data - Wang, L., Wang, Y. X. R., Li, J. J. & Tong, X., 2024, In: Journal of the American Statistical Association. 119, 545, p. 39-51
[May 2023] Optimal and Fast Confidence Intervals for Hypergeometric Successes - Bartroff, J., Lorden, G. & Wang, L., May 2023, In: American Statistician. 77, 2, p. 151-159
[Aug 2023] Response to Comment by Schilling - Bartroff, J., Lorden, G. & Wang, L., Aug 2023, In: American Statistician. 77, 3, p. 343-344
[Apr 2023] Skilled Mutual Fund Selection: False Discovery Control Under Dependence - Wang, L., Han, X. & Tong, X., Apr 2023, In: Journal of Business and Economic Statistics. 41, 2, p. 578–592
Frequently asked questions
Is Lijia WANG, 王麗嘉 hiring PhD students at City University of Hong Kong?
Yes. As of 2026-10-19, Lijia WANG, 王麗嘉's faculty page shows a PhD hiring signal: Accepting PhD Students. I am looking for highly motivated Ph.D. students with a background in statistics, mathematics, or related fields. If you are interested, please send your CV and transcript(s) t.
What does Lijia WANG, 王麗嘉 research?
Network data analysis; Asymmetric error control; Statistical learning; statistical network modeling and asymmetric error control, spanning topics such as local community detection, social network analysis, optimal testing procedures, confidence intervals, and Neyman–Pearson classification
Data last updated: 2026-10-19 · Source: phd-match.com faculty database.
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