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Research Interests: My main research interest lies in the development of statistical methodologies for models with intractable likelihood functions or for misspecified models. These methodologies bring ideas from mathematical statistics (e.g. good old exponential families), machine learning (e.g. deep generative models) and physics (e.g. scoring rules probabilistic predictions) together through neural exponential models, generalised likelihood-free Bayesian inference etc. Applications of them made significant breakthroughs in the fields of meteorology and climate science, epidemiology, computational biology and engineering sciences
Research Interests
Papers共 56 篇Author StatisticsCo-AuthorSimilar Experts
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arxiv(2024)
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JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGYno. 5 (2024)
JOURNAL OF MACHINE LEARNING RESEARCH (2024)
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Journal of the Royal Statistical Society Series B: Statistical Methodology (2023)
ROYAL SOCIETY OPEN SCIENCEno. 8 (2023): 221469-221469
crossref(2023)
arXiv (Cornell University) (2023)
bioRxiv (Cold Spring Harbor Laboratory) (2023)
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