Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0009-0005-7631-9207
Scopus Author ID: 57225901579
Impact
Qualifications (Brief)
BS (University of California, Irvine), MS and PhD (University of Southern California)
Biography
Lijia Wang holds a Bachelor's degree in Mathematics from the University of California Irvine and earned a Master's degree in Statistics and a Ph.D. in Applied Mathematics from the University of Southern California, both within the Mathematics Department. Her research focuses on statistical network modeling and asymmetric error control, spanning topics like local community detection, social network analysis, optimal testing procedures, confidence intervals and Naymen-Person classification.
Position(s) Available
- 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 [email protected]. I look forward to receiving your application.
Research Interests/Areas
- Network data analysis
- Multiple testing
- Confidence interval
- Naymen-Person classification
- Asymmetric error control
- Statistical learning
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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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. 39-51Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile1 Citation (Scopus)45 Downloads (CityUHK Scholars) -
Optimal and Fast Confidence Intervals for Hypergeometric Successes
Bartroff, J., Lorden, G. & Wang, L., May 2023, In: American Statistician. 77, 2, p. 151-159Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
4 Citations (Scopus) -
Response to Comment by Schilling
Bartroff, J., Lorden, G. & Wang, L., Aug 2023, In: American Statistician. 77, 3, p. 343-344Research output: Journal Publications and Reviews › Comment/debate
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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. 578–592Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
2 Citations (Scopus) -
Statistics in everyone's backyard: An impact study via citation network analysis
Wang, L., Tong, X. & Wang, Y. X. R., 12 Aug 2022, In: Patterns. 3, 8, 100532.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile48 Downloads (CityUHK Scholars)
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CRF-ExtU-Lead: Algorithmic Bias, Economic Efficiency, and Social Welfare
WU, Y. (Main Project Coordinator [External]), WANG, L. (Principal Investigator / Project Coordinator), HAO, Y. J. (Co-Principal Investigator), LI, J. (Co-Principal Investigator), LIU, J. Z. (Co-Principal Investigator), QI, J. (Co-Principal Investigator), XIA, L. L. (Co-Principal Investigator) & YAO, S. (Co-Principal Investigator)
15/06/25 → …
Project: Research
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ECS: Individual-centered Partial Information in the Latent Space Network Models
WANG, L. (Principal Investigator / Project Coordinator)
1/10/24 → …
Project: Research
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DON_RMG: Urban Health Intelligence: Machine Learning Innovations for Severe Patient Prioritization, Post-Pandemic Monitoring, and Future Pandemic Preparedness in Smart Cities - RMGS
WANG, L. (Principal Investigator / Project Coordinator)
1/05/24 → …
Project: Research
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GRF: Neyman-Pearson Classification Methods for Prioritizing Important Categories and Enhancing Robustness to Group-Wise Sample Bias
WANG, L. (Principal Investigator / Project Coordinator)
1/01/26 → …
Project: Research