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His research focuses on computational statistics, especially mixture model-based clustering and classification. Current research includes work on non-Gaussian mixtures, matrix variate distributions, and real problems in big data analytics. His research group currently comprises a PDF, eight Ph.D. students, a Master's student, and an undergraduate researcher. He has received several recognitions for his research, including membership of The College of the Royal Society of Canada and the John L. Synge award from the Royal Society of Canada.
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论文共 226 篇作者统计合作学者相似作者
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Journal of Classificationpp.1-1, (2024)
arxiv(2024)
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Biodiversity data journal (2023): e96480-e96480
arXiv (Cornell University) (2023)
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Journal of Classificationno. 2 (2023): 213-213
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arXiv (Cornell University) (2023)
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Biodiversity Data Journal (2023): 1-30
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