Search Results - "OLIVERO, HÉCTOR"

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  1. 1

    Strong convergence of the symmetrized Milstein scheme for some CEV-like SDEs by BOSSY, MIREILLE, OLIVERO, HÉCTOR

    “…In this paper, we study the rate of convergence of a symmetrized version of the Milstein scheme applied to the solution of the one dimensional SDE…”
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    Journal Article
  2. 2

    Synchronization of stochastic mean field networks of Hodgkin–Huxley neurons with noisy channels by Bossy, Mireille, Fontbona, Joaquín, Olivero, Héctor

    Published in Journal of mathematical biology (01-05-2019)
    “…In this work we are interested in a mathematical model of the collective behavior of a fully connected network of finitely many neurons, when their number and…”
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    Journal Article
  3. 3

    A hypothesis test for the domain of attraction of a random variable by Olivero, Héctor, Talay, Denis

    Published 15-07-2024
    “…In this work we address the problem of detecting whether a sampled probability distribution of a random variable $V$ has infinite first moment. This issue is…”
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    Journal Article
  4. 4

    Wright--Fisher kernels: from linear to non-linear dynamics, ergodicity and McKean--Vlasov scaling limits by Cordero, Fernando, Jorquera, Christian, Olivero, Héctor, Videla, Leonardo

    Published 16-10-2024
    “…We consider a population of hosts infected by a pathogen that exists in two strains. We use a two-parameter family of Markov kernels on $[0,1]$ to describe the…”
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  5. 5

    Strong convergence of the symmetrized Milstein scheme for some CEV-like SDEs by Bossy, Mireille, Quinteros, Hector Olivero

    Published 19-08-2016
    “…Bernoulli Volume 24, Number 3 (August 2018), 1995-2042 In this paper we study the rate of convergence of a symmetrized version of the Milstein scheme applied…”
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    Journal Article
  6. 6

    Synchronization of stochastic mean field networks of Hodgkin-Huxley neurons with noisy channels by Bossy, Mireille, Fontbona, Joaquin, Olivero, Hector

    Published 28-12-2018
    “…In this work we are interested in a mathematical model of the collective behavior of a fully connected network of finitely many neurons, when their number and…”
    Get full text
    Journal Article