Probability Victoria Seminar (PVSeminar)

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Audience: Researchers in the topic
Seminar series time: Thursday 09:00-10:00 in your time zone, UTC
Organizer: Konstantin Borovkov*
*contact for this listing

All the information about the forthcoming and past events (including the seminars' Zoom links, where available) can be found at The URL of the seminar YouTube channel is:

Upcoming talks
Past talks
Your timeSpeakerTitle
ThuMay 0609:00Jean BertoinA repentant random walk
ThuApr 2209:00Erwin BolthausenApproximate message passage and the TAP equation
ThuMar 1808:00David CroydonAnomalous scaling regime for one-dimensional Mott variable-range hopping
ThuMar 0408:00Jevgenijs IvanovsRecovering Brownian and jump parts from high-frequency observations of a Lévy process
ThuDec 1706:00XIao FangError bounds in multivariate normal approximations
ThuNov 2608:00Laurent TournieThe phase transition in three-speed ballistic annihilation
ThuNov 1906:00Antar BandyopadhyayRandom Recursive Tree, Branching Markov Chains and Urn Models
ThuNov 1208:00Takis KonstantopoulosLongest and heaviest paths in random directed graphs
ThuNov 0507:00Elie AidekonCluster explorations of the loop soup on a metric graph related to the Gaussian free field
ThuOct 2906:00Fima KlebanerA new result on the long term behaviour of a dynamical system perturbed by small noise and started near an unstable fixed point, with an application to the Bare Bones evolution model for an establishment of a mutant.
ThuOct 2206:00Wei QianGeneralized disconnection exponents for Brownian loop-soups
ThuOct 1507:00Gesine ReinertStein’s method for multivariate distributions, kernelized goodness of fit statistics, and exponential random graph models
ThuOct 0107:00Ross MallerA Generalized Dickman Distribution and the Number of Species in a Negative Binomial Process Model
ThuSep 2407:00Stephen MuirheadThe phase transition for planar Gaussian percolation models without positive associations
ThuJun 1807:00Yamazaki KazutoshiLevy processes observed at Poisson arrival times and their applications in stochastic control
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