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个人简介

陈昕昕,女,教授;2009年6月于清华大学数学系获得理学学士学位,2014年5月在法国巴黎六大获得理学博士学位,2014年至2021年在法国里昂一大工作。

研究领域

分支随机游动

包括分枝过程,随机游走等

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Chen, X. Convergence rate of the limit theorem of a Galton-Watson tree with neutral mutations. Statistics and Probability Letters 83, pp. 588-595. (2013) Chen, X. Waiting times for particles in a branching Brownian motion to reach the rightmost position. Stochastic Processes and their Applications 123(8), pp. 3153-3182. (2013) Chen, X. Scaling limit of the path leading to the leftmost particle in a branching random walk. Theory of Probability and its Applications 59(4), pp. 567-589. (2015) Chen, X. A necessary and sufficient condition for the non-trivial limit of the derivative martingale in a branching random walk. Advances in Applied Probability 47(3), pp. 741-760. (2015) Chen, X. and Miermont, G. Long Brownian bridges in hyperbolic spaces converge to Brownian trees. Electronic Journal of Probability 22(58), 15 pp. (2017) Chen, X. and Zeng, X. Speed of Vertex reinforced jump process on Galton-Watson trees. Journal of Theoretical Probability 31(2), pp. 1166-1211. (2018) Andreoletti, P. and Chen, X. Range and critical generations of a random walk on Galton-Watson trees. Annales de l’Institut Henri Poincaré. Probab. Statist. 54(1), pp. 466-513. (2018) Chen, X. and Madaule, T. and Mallein, B. On the trajectory of an individual chosen according to supercritical Gibbs measure in the branching random walk. Stochastic Processes and their Applications 129(10), pp. 3821-3858. (2019) Chen, X. and Guillotin-Plantard, N. Branching processes in correlated random environment. Electronic Communication of Probability 24(7), 13 pp. (2019) Chen, X. and He, H. On large deviation probabilities for empirical distribution of super- critical branching random walks with unbounded displacements Probability Theory and Related Fields 175(1-2), pp. 255-307. (2019) Chen, X. and He, H. Lower deviation and moderate deviation probabilities for maximum of a branching random walk. Annales de l’Institut Henri Poincaré. Probab. Statist. 56(4), pp. 2507-2539. (2020)

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