Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Georges Oppenheim"'
Publikováno v:
Revstat Statistical Journal, Vol 8, Iss 2 (2010)
To account for the variation of EDF’s (the French electrical company) portfolio following the liberalization of the electrical market, it is essential to disaggregate the global load curve. The idea is to disaggregate the global signal in such a wa
Externí odkaz:
https://doaj.org/article/262f0329814a48eea16e85f646c8dc4f
Autor:
Benjamin Larvaron, Marianne Clausel, Antoine Bertoncello, Sébastien Benjamin, Georges Oppenheim
Publikováno v:
Journal of Energy Storage. 67:107443
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7913f9b3075daeebe104adb863e8a815
https://doi.org/10.1016/j.est.2023.107443
https://doi.org/10.1016/j.est.2023.107443
Autor:
Benjamin Larvaron, Marianne Clausel, Antoine Bertoncello, Sébastien Benjamin, Georges Oppenheim
Publikováno v:
Journal of Energy Storage. 65:107180
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6c8f6df41c21a86c66873ff3d156e87
https://doi.org/10.1016/j.est.2023.107180
https://doi.org/10.1016/j.est.2023.107180
Publikováno v:
Computational Statistics & Data Analysis. 174:107499
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2f7f7fad7dc06d866ca880472f6a953
https://doi.org/10.1016/j.csda.2022.107499
https://doi.org/10.1016/j.csda.2022.107499
Autor:
Tobias Kurth, Philippe Cordier, Antoine Bertoncello, Jean-Philippe Mathieu, Sébastien Gourvénec, Georges Oppenheim, Eric Chaput
Publikováno v:
Mathematical Geosciences. 52:637-637
Unfortunately, in the original version of the article the first and second name of the fourth author were wrong.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::425076062f9267c1589983e402ad8601
https://doi.org/10.1007/s11004-019-09848-y
https://doi.org/10.1007/s11004-019-09848-y
Autor:
Jean-Louis Mas, Catherine Oppenheim, Jean-François Meder, Catherine Lamy, Emmanuel Touzé, Georges Oppenheim, M. Petkova, Sebastian Rodrigo
Publikováno v:
Radiology. 257:782-792
To assess the value of magnetic resonance (MR) imaging parameters as surrogate markers of stroke duration.The study was approved by the Ethics Committee of Ile de France III and was found to conform to generally accepted scientific principles and eth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5b4069e4ddc0f48908ad7aee67c0b9d
https://doi.org/10.1148/radiol.10100461
https://doi.org/10.1148/radiol.10100461
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 91:87-93
Particle filtering is a Monte Carlo simulation method designed to approximate non-linear filters that estimate and track the state of a dynamic system. We present the general principle of these algorithms and show the wide domain of applications usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61fe9f33fdd84eab5361e47ff944aa88
https://doi.org/10.1016/j.chemolab.2007.09.010
https://doi.org/10.1016/j.chemolab.2007.09.010
Autor:
Georges Oppenheim, Marie-Claude Viano
Publikováno v:
Journal of Time Series Analysis. 25:335-350
It is shown that by aggregating simple random parameters, processes such as autoregressive micro-relationships or Ornstein-Uhlenbeck processes, one can obtain various seasonal long memory Gaussian models. The investigation concerns the discrete as we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd82bb7fe4634c4d6ddfbf999ec15e5c
https://doi.org/10.1111/j.1467-9892.2004.01775.x
https://doi.org/10.1111/j.1467-9892.2004.01775.x
Publikováno v:
Statistical Inference for Stochastic Processes. 3:53-68
This review is devoted to stationary discrete time second order processes whose covariance asymptotically behaves like an hyperbolically damped oscillating sequence. We present the two main ways of generating parametric models of this type. Then we g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f7ebb0742d31c4323886c3ee84fb26f
https://doi.org/10.1023/a:1009967932430
https://doi.org/10.1023/a:1009967932430
Autor:
Anestis Antoniadis, Georges Oppenheim
Despite its short history, wavelet theory has found applications in a remarkable diversity of disciplines: mathematics, physics, numerical analysis, signal processing, probability theory and statistics. The abundance of intriguing and useful features
