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Statistics | Inverse Problems and High-Dimensional Estimation - Stats in the Château Summer School, August (Authors and Editors)

Inverse Problems and High-Dimensional Estimation

Stats in the Château Summer School, August 31 - September 4, 2009

Alquier, Pierre, Gautier, Eric, Stoltz, Gilles (Eds.)

2011, XIII, 198p. 12 illus..

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Pierre Alquier is an associate professor at Université Paris 7 and a research fellow at CREST. He holds a PhD from Université Paris 6. His research themes are high dimensional estimation and agregation of estimators in statistics.

Eric Gautier is an associate professor at ENSAE ParisTech and a researcher at CREST. He holds a PhD from the University of Rennes 1. His research is both in probability and theoretical econometrics. Regarding the second theme, he is particularly interested in inverse problems and high dimensional estimation and their applications to economics.

Gilles Stoltz is a research fellow at CNRS, Ecole normale supérieure and an affiliated professor at HEC Paris. He holds a PhD and an habilitation from Université Paris-Sud, Orsay. His research themes concern sequential prediction of arbitrary sequences and its application to the theory of repeated games.

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  • Inverse Problems and High-Dimensional Estimation
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    Inverse Problems and High-Dimensional Estimation

    Stats in the Château Summer School, August 31 - September 4, 2009

    Series: Lecture Notes in Statistics, Vol. 203

    Subseries: Lecture Notes in Statistics - Proceedings

    Alquier, Pierre, Gautier, Eric, Stoltz, Gilles (Eds.) 2011

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  • Algorithmic Learning Theory
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    Algorithmic Learning Theory

    23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012, Proceedings

    Series: Lecture Notes in Computer Science, Vol. 7568

    Subseries: Lecture Notes in Artificial Intelligence

    Bshouty, N.H., Stoltz, G., Vayatis, N., Zeugmann, Th. (Eds.) 2012

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