Emmanuel Gobet
Orcid: 0000-0002-9940-2493Affiliations:
- École Polytechnique, Paris, France
According to our database1,
Emmanuel Gobet
authored at least 37 papers
between 2001 and 2024.
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Bibliography
2024
A Mean Field Game Model for Renewable Investment Under Long-Term Uncertainty and Risk Aversion.
Dyn. Games Appl., November, 2024
Structured dictionary learning of rating migration matrices for credit risk modeling.
Comput. Stat., September, 2024
Optimal ecological transition path of a credit portfolio distribution, based on multidate Monge-Kantorovich formulation.
Ann. Oper. Res., May, 2024
Ann. Oper. Res., May, 2024
Estimation of extreme quantiles from heavy-tailed distributions with neural networks.
Stat. Comput., February, 2024
Quasi-Regression Monte-Carlo scheme for semi-linear PDEs and BSDEs with large scale parallelization on GPUs.
CoRR, 2024
CoRR, 2024
2022
SIAM J. Control. Optim., October, 2022
SIAM/ASA J. Uncertain. Quantification, 2022
J. Mach. Learn. Res., 2022
2020
SIAM J. Financial Math., 2020
Multilevel Monte Carlo methods and lower-upper bounds in initial margin computations.
Monte Carlo Methods Appl., 2020
Uncertainty Quantification for Stochastic Approximation Limits Using Chaos Expansion.
SIAM/ASA J. Uncertain. Quantification, 2020
2019
Quantitative bounds for concentration-of-measure inequalities and empirical regression: The independent case.
J. Complex., 2019
2018
A Nonintrusive Stratified Resampler for Regression Monte Carlo: Application to Solving Nonlinear Equations.
SIAM J. Numer. Anal., 2018
Study of new rare event simulation schemes and their application to extreme scenario generation.
Math. Comput. Simul., 2018
2017
MCMC design-based non-parametric regression for rare event. Application to nested risk computations.
Monte Carlo Methods Appl., 2017
Proceedings of the 2017 Winter Simulation Conference, 2017
2016
Stratified Regression Monte-Carlo Scheme for Semilinear PDEs and BSDEs with Large Scale Parallelization on GPUs.
SIAM J. Sci. Comput., 2016
Linear regression MDP scheme for discrete backward stochastic differential equations under general conditions.
Math. Comput., 2016
SIAM/ASA J. Uncertain. Quantification, 2016
2015
SIAM J. Sci. Comput., 2015
SIAM J. Financial Math., 2015
2014
Stochastic Approximation Finite Element Method: Analytical Formulas for Multidimensional Diffusion Process.
SIAM J. Numer. Anal., 2014
A correction note to "Discrete time hedging errors for options with irregular payoffs".
Finance Stochastics, 2014
2013
Monte Carlo Methods Appl., 2013
2010
2009
2006
2005
SIAM J. Numer. Anal., 2005
Sensitivity Analysis Using It[o-circumflex]--Malliavin Calculus and Martingales, and Application to Stochastic Optimal Control.
SIAM J. Control. Optim., 2005
2004
Monte Carlo Methods Appl., 2004
2001
Monte Carlo Methods Appl., 2001
Finance Stochastics, 2001