Linglong Yuan
Xi'an Jiaotong-Liverpool University
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Publication
Featured researches published by Linglong Yuan.
Advances in Applied Probability | 2015
Jean-Stéphane Dhersin; Linglong Yuan
In this paper we consider the beta(2 − α, α)-coalescents with 1 < α < 2 and study the moments of external branches, in particular, the total external branch length of an initial sample of n individuals. For this class of coalescents, it has been proved that n α-1 T (n) →D T, where T (n) is the length of an external branch chosen at random and T is a known nonnegative random variable. For beta(2 − α, α)-coalescents with 1 < α < 2, we obtain lim n→+∞ n 3α-5 𝔼(L ext (n) − n 2-α𝔼T)2 = ((α − 1)Γ(α + 1))2Γ(4 − α) / ((3 − α)Γ(4 − 2α)).
Bellman Prize in Mathematical Biosciences | 2017
Linglong Yuan
Kingmans model of selection and mutation studies the limit type value distribution in an asexual population of discrete generations and infinite size undergoing selection and mutation. This paper generalizes the model to analyze the long-term evolution of Escherichia. coli in Lenski experiment. Weak assumptions for fitness functions are proposed and the mutation mechanism is the same as in Kingmans model. General macroscopic epistasis are designable through fitness functions. Convergence to the unique limit type distribution is obtained.
Archive | 2018
Arno Siri-Jégousse; Linglong Yuan
We study the largest block size of Beta n-coalescents at small times as n tends to infinity, using the paintbox construction of Beta-coalescents and the link between continuous-state branching processes and Beta-coalescents established in Birkner et al. (Electron J Probab 10(9):303–325, 2005) and Berestycki et al. (Ann Inst H Poincare Probab Stat 44(2):214–238, 2008). As a corollary, a limit result on the largest block size at the coalescence time of the individual/block {1} is provided.
Journal of Applied Probability | 2017
Takis Konstantopoulos; Linglong Yuan
We present a stand-alone simple proof of a probabilistic interpretation of the Gaussian binomial coefficients by conditioning a random walk to hit a given lattice point at a given time.
Stochastic Processes and their Applications | 2013
Jean-Stéphane Dhersin; Fabian Freund; Arno Siri-Jégousse; Linglong Yuan
arXiv: Probability | 2012
Jean-Stéphane Dhersin; Linglong Yuan
Transactions of the American Mathematical Society | 2018
Takis Konstantopoulos; Linglong Yuan
Acta Applicandae Mathematicae | 2016
Arno Siri-Jégousse; Linglong Yuan
Stochastic Processes and their Applications | 2016
Adrián González Casanova; Noemi Kurt; Anton Wakolbinger; Linglong Yuan
Journal of Mathematical Analysis and Applications | 2016
Svante Janson; Takis Konstantopoulos; Linglong Yuan