基本信息
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职业迁徙
个人简介
His research interests lie both in probability theory and in its various applications. A very important area is that of stochastic modeling, and he is especially interested in "non-standard" models, in particular those exhibiting heavy tails and/or long-range dependence. These models behave very differently from the "usual" models that are typically based on Gaussian or Markov stochastic processes. Applications of such unusual models are in finance, insurance, climate modelling and social networks. Since many classical statistical tools break down in the presence of long-range dependence and/or absence of Gaussianity, it is very important to understand how "non-standard" models behave, how one simulates them, how one estimates their parameters, and how one predicts their behavior in the future. He is interested in interaction of toplogy, geometry and ergodic theory with probability theory. A major area of interest is studying and modeling extremes in climate and understanding, in particular, whether, in fact, extremes in climate grow faster than the averages. Other areas of interest include self-similar (fractal-like) stochastic processes and extrema of stochastic processes.
Complex Systems, Network Science and Computation
Applied Probability
Financial Engineering
Networks
Statistics and Machine Learning
Complex Systems, Network Science and Computation
Applied Probability
Financial Engineering
Networks
Statistics and Machine Learning
研究兴趣
论文共 20 篇作者统计合作学者相似作者
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CoRR (2023)
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arXiv (Cornell University) (2022)
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Stochastic Processes and their Applicationsno. 4 (2020): 2471-2487
Xiaoyang Lu,Gennady Samorodnitsky
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D-Core
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