Guannan Wang
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Associate Professor
United StatesResearch Interests
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About
Guannan Wang is an Associate Professor at the College of William and Mary in the United States. His research primarily focuses on data science applications in health forecasting, particularly related to COVID-19 mortality and data integration. His recent publications address probabilistic forecasting models, anomaly detection in health data, and advanced estimation techniques in functional data analysis. Additionally, he explores statistical methods for handling complex data domains and their practical implications in real-world scenarios.
Recent Grants
Grant: Open
Simons Foundation Program: Mathematics and Physical Sciences‐Travel Support for Mathematicians
Open Date: 2022-09-01
Close Date: 2027-08-01
Articles (10)
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2023
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2022
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2021
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2021
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2021
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2021
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2020
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2020
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2020
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2020
Collaborators (12)
Myungjin Kim
Assistant Professor
Kyungpook National University
Xinyi Li
Assistant Professor
Clemson University
Pan Xu
Assistant professor
Duke University
Lily Wang
Professor
George Mason University
Joceline Lega
University of Arizona
Qi-Jun Hong
Assistant Professor
Arizona State University
David Kraus
Masaryk University
Lindsay Keegan
Research Assistant Professor
University of Utah
Dean Karlen
Professor
University of Victoria
Lei Gao
Associate Professor
George Mason University
Shan Yu
Assistant Professor
University of Virginia
Jacob Bien
Professor
University of Southern California
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