Konarovskyi V, Limic V. Stochastic block model in a new critical regime and the interacting multiplicative coalescent. Electronic Journal of Probability. 2021;26: 30.This work exhibits a novel phase transition for the classical stochastic block model (SBM). In addition we study the SBM in the corresponding near-critical regime, and find the scaling limit for the component sizes. The two-parameter stochastic process arising in the scaling limit, an analogue of the standard Aldous' multiplicative coalescent, is interesting in its own right. We name it the (standard) Interacting Multiplicative Coalescent. To the best of our knowledge, this object has not yet appeared in the literature
We describe a representation of the Bolthausen-Sznitman coalescent in terms of the cutting of random...
Konarovskyi V, Limic V. On Moments of Multiplicative Coalescents. 2021.The motivation for this work...
We describe a new phenomenon in models of coalescence and fragmentation, that of gel-shatter cycles....
The multiplicative coalescent X(t) is a l2-valued Markov process representing coalescence of cluster...
We introduce the multiplicative coalescent with linear deletion, a continuous-time Markov process de...
International audienceWe consider a stochastic process with long-range dependence perturbed by multi...
Let (Bt(s), 0 ≤ s < ∞) be reflecting inhomogeneous Brownian motion with drift t - s at time s, st...
We investigate the component sizes of the critical configuration model, as well as the related probl...
International audienceThe labeled stochastic block model is a random graph model representing networ...
32 pages, 4 figures, this is the revision of v1, as promised in the abstract of the (interim) versio...
Great progress in the understanding of conformally invariant scaling limits of stochastic models, ha...
International audienceWe revisit the discrete additive and multiplicative coalescents, starting with...
International audienceWe present results on a stochastic version of a well-known kinetic nucleation ...
For each finite measure � on �0 � 1�, a coalescent Markov process, with state space the compact set ...
We introduce the multiplicative coalescent with linear deletion, a continuous-time Markov proce...
We describe a representation of the Bolthausen-Sznitman coalescent in terms of the cutting of random...
Konarovskyi V, Limic V. On Moments of Multiplicative Coalescents. 2021.The motivation for this work...
We describe a new phenomenon in models of coalescence and fragmentation, that of gel-shatter cycles....
The multiplicative coalescent X(t) is a l2-valued Markov process representing coalescence of cluster...
We introduce the multiplicative coalescent with linear deletion, a continuous-time Markov process de...
International audienceWe consider a stochastic process with long-range dependence perturbed by multi...
Let (Bt(s), 0 ≤ s < ∞) be reflecting inhomogeneous Brownian motion with drift t - s at time s, st...
We investigate the component sizes of the critical configuration model, as well as the related probl...
International audienceThe labeled stochastic block model is a random graph model representing networ...
32 pages, 4 figures, this is the revision of v1, as promised in the abstract of the (interim) versio...
Great progress in the understanding of conformally invariant scaling limits of stochastic models, ha...
International audienceWe revisit the discrete additive and multiplicative coalescents, starting with...
International audienceWe present results on a stochastic version of a well-known kinetic nucleation ...
For each finite measure � on �0 � 1�, a coalescent Markov process, with state space the compact set ...
We introduce the multiplicative coalescent with linear deletion, a continuous-time Markov proce...
We describe a representation of the Bolthausen-Sznitman coalescent in terms of the cutting of random...
Konarovskyi V, Limic V. On Moments of Multiplicative Coalescents. 2021.The motivation for this work...
We describe a new phenomenon in models of coalescence and fragmentation, that of gel-shatter cycles....