Mathieu Kessler
Mathieu Kessler
Professor of Statistics, Universidad Politécnica de Cartagena
Verificeret mail på upct.es
Citeret af
Citeret af
Estimation of an ergodic diffusion from discrete observations
M Kessler
Scandinavian Journal of Statistics 24 (2), 211-229, 1997
Estimating equations based on eigenfunctions for a discretely observed diffusion process
M Kessler, M Sørensen
Bernoulli, 299-314, 1999
Probabilistic characterization of thermostatically controlled loads to model the impact of demand response programs
A Molina-Garcia, M Kessler, JA Fuentes, E Gómez-Lázaro
IEEE Transactions on power systems 26 (1), 241-251, 2010
Simple and explicit estimating functions for a discretely observed diffusion process
M Kessler
Scandinavian Journal of Statistics 27 (1), 65-82, 2000
Statistical methods for stochastic differential equations
M Kessler, A Lindner, M Sørensen
Monographs on Statistics and Applied Probability 124, 7-12, 2012
Asymptotic Likelihood Based Inference for Co‐integrated Homogenous Gaussian Diffusions
M Kessler, A Rahbek
Scandinavian Journal of Statistics 28 (3), 455-470, 2001
Identification and inference for multivariate cointegrated and ergodic Gaussian diffusions
M Kessler, A Rahbek
Statistical inference for stochastic processes 7, 137-151, 2004
Robust shape optimization of continuous structures via the level set method
J Martinez-Frutos, D Herrero-Perez, M Kessler, F Periago
Computer Methods in Applied Mechanics and Engineering 305, 271-291, 2016
Estimation des parametres d'une diffusion par des contrastes corriges
M Kessler
Comptes rendus de l'Académie des sciences. Série 1, Mathématique 320, 359, 1995
Bayesian methods for the conformational classification of eight-membered rings
J Pérez, K Nolsøe, M Kessler, L García, E Pérez, JL Serrano
Acta Crystallographica Section B: Structural Science 61 (5), 585-594, 2005
Probability density function characterization for aggregated large-scale wind power based on Weibull mixtures
E Gómez-Lázaro, MC Bueso, M Kessler, S Martín-Martínez, J Zhang, ...
Energies 9 (2), 91, 2016
Markov chain Monte Carlo approach to parameter estimation in the FitzHugh-Nagumo model
AC Jensen, S Ditlevsen, M Kessler, O Papaspiliopoulos
Physical Review E 86 (4), 041114, 2012
Computational aspects related to martingale estimating functions for a discretely observed diffusion
M Kessler, S Paredes
Scandinavian journal of statistics 29 (3), 425-440, 2002
A new solar module modeling for PV applications based on a symmetrized and shifted Gompertz model
A Molina-Garcia, J Guerrero-Perez, MC Bueso, M Kessler, ...
IEEE Transactions on Energy Conversion 30 (1), 51-59, 2014
Risk-averse structural topology optimization under random fields using stochastic expansion methods
J Martinez-Frutos, D Herrero-Pérez, M Kessler, F Periago
Computer Methods in Applied Mechanics and Engineering 330, 180-206, 2018
Modeling aluminum smelter plants using sliced inverse regression with a view towards load flexibility
A Molina-Garcia, M Kessler, MC Bueso, JA Fuentes, E Gómez-Lázaro, ...
IEEE Transactions on Power Systems 26 (1), 282-293, 2010
The information in the marginal law of a Markov chain
M Kessler, A Schick, W Wefelmeyer
Bernoulli, 243-266, 2001
Probabilistic model-based methodology for the conformational study of cyclic systems: application to copper complexes double-bridged by phosphate and related ligands
M Kessler, J Pérez, MC Bueso, L García, E Pérez, JL Serrano, ...
Acta Crystallographica Section B: Structural Science 63 (6), 869-878, 2007
Robust optimal Robin boundary control for the transient heat equation with random input data
J Martínez‐Frutos, M Kessler, A Münch, F Periago
International Journal for Numerical Methods in Engineering 108 (2), 116-135, 2016
On intrinsic priors for nonnested models
JA Cano, M Kessler, E Moreno
Test 13, 445-463, 2004
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