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On decay-surge population models

 Branda Goncalves , Thierry Huillet , Eva Löcherbach
Advances in Applied Probability, 2022, pp.1-29. ⟨10.1017/apr.2022.30⟩
Article dans une revue hal-03035061v1

ON POPULATION GROWTH WITH CATASTROPHES

 Branda Goncalves , Thierry Edmond Arnold Huillet , Eva Löcherbach
Stochastic Models, 2021, ⟨10.1080/15326349.2021.2020660⟩
Article dans une revue hal-02900249v1
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Stochastic chains with memory of variable length

 Antonio Galves , Eva Loecherbach
Festschrift in honour of the 75th birthday of Jorma Rissanen, International Statistical Review, pp.329-463, 2008
Chapitre d'ouvrage hal-00798528v1

On a toy model of interacting neurons

 Nicolas Fournier , Eva Loecherbach
Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques, 2016, 52 (4), ⟨10.1214/15-AIHP701⟩
Article dans une revue hal-03180754v1
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On Nummelin splitting for continuous time Harris recurrent Markov processes and application to kernel estimation for multi-dimensional diffusions

 Eva Loecherbach , Dasha Loukianova
Stochastic Processes and their Applications, 2008, 118 (8), pp.1301-1321. ⟨10.1016/j.spa.2007.09.003⟩
Article dans une revue hal-00798486v1
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Perfect simulation of infinite range Gibbs measures and coupling with their finite range approximations

 Eva Loecherbach , Antonio Galves , Enza Orlandi
Journal of Statistical Physics, 2010, 138 (1-3), pp.476-495. ⟨10.1007/s10955-009-9881-3⟩
Article dans une revue hal-00798518v1
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White-noise driven conditional McKean-Vlasov limits for systems of particles with simultaneous and random jumps

 Xavier Erny , Eva Löcherbach , Dasha Loukianova
Probability Theory and Related Fields, 2022, ⟨10.1007/s00440-022-01139-8⟩
Article dans une revue hal-03161351v1
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Ergodicity for multidimensional jump diffusions with position dependent jump rate

 Eva Löcherbach , Victor Rabiet
2015
Pré-publication, Document de travail hal-01144260v1

Non-parametric estimation of the spiking rate in systems of interacting neurons

 Pierre Hodara , Nathalie Krell , Eva Löcherbach
Statistical Inference for Stochastic Processes, 2018, 21 (1), pp.81-111. ⟨10.1007/s11203-016-9150-4⟩
Article dans une revue hal-01327430v1
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Kalikow decomposition for counting processes with stochastic intensity and application to simulation algorithms

 Tien Cuong Phi , Patricia Reynaud-Bouret , Eva Löcherbach
2022
Pré-publication, Document de travail hal-03188536v2
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Probabilistic spiking neuronal nets - Neuromathematics for the computer era

 Antonio Galves , Eva Löcherbach , Christophe Pouzat
2021
Pré-publication, Document de travail hal-03196369v1
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Metastability for systems of interacting neurons

 Eva Löcherbach , Pierre Monmarché
Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques, 2022, 58, ⟨10.1214/21-aihp1164⟩
Article dans une revue hal-03608094v1
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Mean field limits for interacting Hawkes processes in a diffusive regime

 Xavier Erny , Eva Löcherbach , Dasha Loukianova
Bernoulli, 2022, 28 (1)
Article dans une revue hal-02096662v4

Penalized nonparametric drift estimation for a continuously observed one-dimensional diffusion process

 Eva Löcherbach , Dasha Loukianova , Oleg Loukianov
ESAIM: Probability and Statistics, 2012, 15, pp.197-216. ⟨10.1051/ps/2009016⟩
Article dans une revue hal-04510347v1
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Conditional propagation of chaos for mean field systems of interacting neurons

 Xavier Erny , Eva Löcherbach , Dasha Loukianova
Electronic Journal of Probability, 2021, 26
Article dans une revue hal-02280882v3

A system of interacting neurons with short term synaptic facilitation

 Antonio Galves , Eva Löcherbach , Christophe Pouzat , Errico Presutti
Journal of Statistical Physics, 2019, 178, pp.869-892. ⟨10.1007/s10955-019-02467-1⟩
Article dans une revue hal-02332244v1
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Strong error bounds for the convergence to its mean field limit for systems of interacting neurons in a diffusive scaling

 Xavier Erny , Eva Löcherbach , Dasha Loukianova
The Annals of Applied Probability, 2023, 33 (5), ⟨10.1214/22-AAP1900⟩
Article dans une revue hal-03878351v1

Regularity of the invariant measure and non-parametric estimation of the jump rate

 Hodara, Pierre , Nathalie Krell , Eva Löcherbach
Romain Azais; Florian Bouguet. Statistical inference for piecewise-deterministic Markov processes, Wiley, Chapitre 2 - p. 39-64, 2018, 978-1-786-30302-8
Chapitre d'ouvrage hal-02319778v1
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Exponential ergodicity for diffusions with jumps driven by a Hawkes process

 Charlotte Dion , Sarah Lemler , Eva Löcherbach
Theory of Probability and Mathematical Statistics, 2021, ⟨10.1090/tpms/1129⟩
Article dans une revue hal-02094514v3

On the Mathematical Consequences of Binning Spike Trains

 Bruno Cessac , Arnaud Le Ny , Eva Löcherbach
Neural Computation, 2017, 29 (1), pp.146-170. ⟨10.1162/NECO_a_00898⟩
Article dans une revue hal-04391903v1
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On the mathematical consequences of binning spike trains

 Bruno Cessac , Arnaud Le Ny , Eva Löcherbach
Neural Computation, 2017, 29 (1), pp.146-170
Article dans une revue hal-01351964v1

CEMRACS 2018: Numerical and mathematical modeling for biologicaland medical applications: deterministic, probabilisticand statistical description

 Vincent Calvez , Céline Grandmont , Eva Lochërbach , Clair Poignard , Magali Ribot , et al.
ESAIM: Proceedings and Surveys, 67, pp.336, 2020, ⟨10.1051/proc/202067000⟩
N°spécial de revue/special issue hal-03701623v1
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