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Professor Ramanan works on probability theory, stochastic processes and their applications, including reflected processes, large deviations theory, high-dimensional probability and applications to asymptotic convex geometry. She has also developed novel mathematical frameworks for the analysis of stochastic networks, Markov random fields and interacting particle systems, which arise as models in a variety of fields ranging from operations research and engineering to statistical physics and neuroscience. Her work combines tools from several fields including discrete probability, stochastic analysis and partial differential equations. She also has four patents to her name.
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论文共 113 篇作者统计合作学者相似作者
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Yin -Ting Liao,Kavita Ramanan
ELECTRONIC JOURNAL OF PROBABILITY (2024)
ANNALS OF APPLIED PROBABILITYno. 2 (2023): 643-688
arXiv (Cornell University) (2023)
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Juniper Cocomello,Kavita Ramanan
arXiv (Cornell University) (2023)
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