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个人简介
Clara Grazian's research focuses on Bayesian modelling and computational aspects. In particular, she is interested in Bayesian clustering through mixture models, and the study of properties of prior distributions for clustering problems, and in dependence models such as copula models, especially when the interest lies on functional of the dependence. Part of her research is focused on computational algorithms to efficiently estimate Bayesian models, such as MCMC, ABC and variational Bayes.
Clara has developed extensive applied collaborations, including modelling animal behaviours, association studies in genomics, portfolio optimization models in finance, long memory processes, machine learning for cybersecurity, modelling air pollution and its effect on vegetation and human health, modelling preferences.
Clara has developed extensive applied collaborations, including modelling animal behaviours, association studies in genomics, portfolio optimization models in finance, long memory processes, machine learning for cybersecurity, modelling air pollution and its effect on vegetation and human health, modelling preferences.
研究兴趣
论文共 60 篇作者统计合作学者相似作者
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Yuwei Wan,Aswathy Ajith,Yixuan Liu, Ke Lu,Clara Grazian, Bram Hoex, Wenjie Zhang,Chunyu Kit,Tong Xie,Ian Foster
arxiv(2024)
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Tong Xie, Yuwei Wan, Yufei Zhou, Wei Huang,Yixuan Liu,Qingyuan Linghu,Shaozhou Wang,Chunyu Kit,Clara Grazian,Wenjie Zhang,Bram Hoex
Patternsno. 5 (2024): 100955-100955
Stat. Comput.no. 1 (2024): 1-26
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATIONno. 5 (2024): 1016-1034
arXiv (Cornell University) (2023)
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Tong Xie, Yuwei Wan, Wei Huang, Zhenyu Yin,Yixuan Liu,Shaozhou Wang,Qingyuan Linghu,Chunyu Kit,Clara Grazian,Wenjie Zhang, Imran Razzak,Bram Hoex
CoRR (2023)
Statistical methods in medical researchpp.9622802231211010, (2023)
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