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个人简介
His areas of expertise include computational statistics, Bayesian machine learning, statistical signal processing and time-series analysis. His current research topics cover large-scale (Bayesian) inference with applications to inverse problems and machine learning and non-linear filtering. He has published more than 100 papers in leading journals of the field. In 1997 and 2006, he receive the Best paper Award of the IEEE Signal Processing Society (for papers in IEEE Trans. On Signal Processing). He served in the editorial boards of IEEE Trans. On Signal Processing, Signal Processing, Stochastic Processes and Applications, Journal of Statistical Planning and Inference. He was the Editor-in-Chief of Bernoulli from 2013-2016.
Moulines is an EURASIP and IMS fellow. He was the recipient of the Silver Medal from the Centre National de Recherche Scientifique (2010), a "grand prix" of the French Academy of Sciences (2011), the EUSIPCO technical achievement award (2020). He was elected to the academy of sciences in 2017.
Moulines is an EURASIP and IMS fellow. He was the recipient of the Silver Medal from the Centre National de Recherche Scientifique (2010), a "grand prix" of the French Academy of Sciences (2011), the EUSIPCO technical achievement award (2020). He was elected to the academy of sciences in 2017.
研究兴趣
论文共 230 篇作者统计合作学者相似作者
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arxiv(2023)
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CoRR (2023): 715-744
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CoRR (2023)
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PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCESno. 2247 (2023): 20220147-20220147
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