Recherche - Laboratoire Jean Kuntzmann Accéder directement au contenu

Filtrer vos résultats

51 résultats

A generative model for fBm with deep ReLU neural networks

Michaël Allouche , Stéphane Girard , Emmanuel Gobet
13th International Conference on Monte Carlo Methods and Applications, Aug 2021, Mannheim (online), Germany
Communication dans un congrès hal-04506755v1

Approximative closed formulas for models with local/stochastic volatility

Emmanuel Gobet
Workshop on Computational Methods with Applications in Finance, Insurance and the Life Sciences, Nov 2008, Linz, Austria
Communication dans un congrès hal-00781448v1
Image document

Solving BSDE with adaptive control variate

Emmanuel Gobet , Céline Labart
SIAM Journal on Numerical Analysis, 2010, 48 (1), pp.257-277. ⟨10.1137/090755060⟩
Article dans une revue hal-00373350v1

Adaptive Monte Carlo scheme for the numerical approximation of BSDEs

Emmanuel Gobet
5th Colloquium on BDSEs and Finance, Jun 2008, Le Mans, France
Communication dans un congrès hal-00781442v1

Time dependent Heston model

Emmanuel Gobet
SMAI 2009 - 4e Biennale Française des Mathématiques Appliquées et Industrielles, May 2009, La Colle sur Loup, France
Communication dans un congrès hal-00781449v1
Image document

Sharp estimates for the convergence of the density of the Euler scheme in small time

Emmanuel Gobet , Celine Labart
Electronic Communications in Probability, 2008, 13, pp.352-363. ⟨10.1214/ECP.v13-1393⟩
Article dans une revue hal-00281365v1

Analytical pricing formulas for models with local volatilities and jumps

Emmanuel Gobet
Workshop on Numerics and Stochastics, Aug 2008, Helsinki, Finland
Communication dans un congrès hal-00781446v1
Image document

Smart expansion and fast calibration for jump diffusion

Eric Benhamou , Emmanuel Gobet , Mohammed Miri
Finance and Stochastics, 2009, 13 (4), pp.563-589. ⟨10.1007/s00780-009-0102-3⟩
Article dans une revue hal-00200395v2
Image document

On the approximation of extreme quantiles with neural networks

Michaël Allouche , Stéphane Girard , Emmanuel Gobet
SFdS 2021 - 52èmes Journées de Statistique de la Société Française de Statistique, Jun 2021, Nice, France. pp.1-5
Communication dans un congrès hal-03268702v1
Image document

On the simulation of extreme events with neural networks

Michaël Allouche , Stéphane Girard , Emmanuel Gobet
2024
Pré-publication, Document de travail hal-04416809v1
Image document

EV-GAN: Simulation of extreme events with ReLU neural networks

Michaël Allouche , Stéphane Girard , Emmanuel Gobet
Journal of Machine Learning Research, 2022, 23 (150), pp.1--39
Article dans une revue hal-03250663v3
Image document

Estimation of the tail-index and extreme quantiles from a mixture of heavy-tailed distributions

Stéphane Girard , Emmanuel Gobet
RESIM 2021 - 13th International Workshop on Rare-Event Simulation, May 2021, Paris / Virtual, France. pp.1
Communication dans un congrès hal-03235031v1

Estimation of extreme quantiles from heavy-tailed distributions with neural networks

Michaël Allouche , Stéphane Girard , Emmanuel Gobet
EVA 2023 - 13th International Conference on Extreme Value Analysis, Probabilistic and Statistical Models and their Applications, Jun 2023, Milan, Italy
Communication dans un congrès hal-04170136v1

A generative model for fBm with deep ReLU neural networks

Michaël Allouche , Stéphane Girard , Emmanuel Gobet
Workshop on Numerical Analysis of Stochastic Partial Differential Equations, Nov 2021, Marseille, France
Communication dans un congrès hal-04506759v1

EV-GAN: Simulation of extreme events with ReLU neural networks

Michaël Allouche , Stéphane Girard , Emmanuel Gobet
EcoSta 2022 - 5th International Conference on Econometrics and Statistics, Jun 2022, Kyoto, Japan
Communication dans un congrès hal-03689703v1
Image document

Error expansion for the discretization of Backward Stochastic Differential Equations

Emmanuel Gobet , Céline Labart
Stochastic Processes and their Applications, 2007, 117 (7), pp.803-829. ⟨10.1016/j.spa.2006.10.007⟩
Article dans une revue hal-00019463v1
Image document

Solving BSDE with adaptive control variate. A note on the rate of convergence of the operator P^k

Emmanuel Gobet , Céline Labart
2009
Pré-publication, Document de travail hal-00373349v1
Image document

Time dependent Heston model

Eric Benhamou , Emmanuel Gobet , Mohammed Miri
SIAM Journal on Financial Mathematics, 2010, 1 (1), pp.289-325. ⟨10.1137/090753814⟩
Article dans une revue hal-00370717v1
Image document

Advanced Monte Carlo methods for barrier and related exotic options

Emmanuel Gobet
Bensoussan A., Zhang Q. et Ciarlet P. Mathematical Modeling and Numerical Methods in Finance, Elsevier, pp.497-528, 2009, Handbook of Numerical Analysis, ⟨10.1016/S1570-8659(08)00012-4⟩
Chapitre d'ouvrage hal-00319947v1

Smart Expansions and fast calibration methods for jump diffusion models

Emmanuel Gobet
International Conference on New Directions in Quantitative Finance, May 2008, Paris, France
Communication dans un congrès hal-00781444v1
Image document

Stopped diffusion processes: boundary corrections and overshoot

Emmanuel Gobet , Stéphane Menozzi
Stochastic Processes and their Applications, 2010, 120 (2), pp.130-162. ⟨10.1016/j.spa.2009.09.014⟩
Article dans une revue hal-00157975v3
Image document

Fractional smoothness and applications in Finance

Stefan Geiss , Emmanuel Gobet
Giulia Di Nunno and Bernt Øksendal. Advanced Mathematical Methods for Finance, Springer, pp.313-331, 2011, 978-3-642-18411-6. ⟨10.1007/978-3-642-18412-3_12⟩
Chapitre d'ouvrage hal-00474803v1

Learning extreme expected shortfall with neural networks

Michaël Allouche , Stéphane Girard , Emmanuel Gobet
ICSDS 2023 - IMS International Conference on Statistics and Data Science, Dec 2023, Lisbon, Portugal
Communication dans un congrès hal-04350510v1
Image document

A generative model for fBm with deep ReLU neural networks

Michaël Allouche , Stéphane Girard , Emmanuel Gobet
Journal of Complexity, 2022, 73, pp.101667. ⟨10.1016/j.jco.2022.101667⟩
Article dans une revue hal-03237854v4

Generative modeling of extremes with neural networks

Michaël Allouche , Stéphane Girard , Emmanuel Gobet
SNSL 2023 - Workshop on Stochastic Numerics and Statistical Learning: Theory and Applications, KAUST, May 2023, KAUST, Saudi Arabia
Communication dans un congrès hal-04506774v1

Closed pricing formula via weak approximation of financial models

Emmanuel Gobet
5th European Congress of Mathematics, Jul 2008, Amsterdam, Netherlands
Communication dans un congrès hal-00781445v1

Discrete sampling of functionals of Itô processes

Emmanuel Gobet , Stéphane Menozzi
Catherine Donati-Martin, Michel Emery, Alain Rouault, Christophe Stricker. Séminaire de probabilités XL, Springer, pp.355-374, 2007, Lecture Notes in Mathematics n°1899, ⟨10.1007/978-3-540-71189-6_19⟩
Chapitre d'ouvrage hal-00168857v1
Image document

The tracking error rate of the Delta-Gamma hedging strategy

Emmanuel Gobet , Azmi Makhlouf
Mathematical Finance, 2012, 22 (2), pp.277-309. ⟨10.1111/j.1467-9965.2010.00466.x⟩
Article dans une revue hal-00401182v1

A Sequential Monte-Carlo algorithm for solving BSDEs

Emmanuel Gobet , Céline Labart
ICIAM07 - 6th International Congress on Industrial Applied Mathematics, Jul 2007, Zurich, Switzerland. pp.1081801-1081802, ⟨10.1002/pamm.200700298⟩
Communication dans un congrès hal-00393602v1
Image document

LAMN property for hidden processes: the case of integrated diffusions

Arnaud Gloter , Emmanuel Gobet
Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques, 2008, 44 (1), pp.104-128. ⟨10.1214/07-AIHP111⟩
Article dans une revue hal-00159317v1