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Inverse Problems and High-Dimensional Estimation - Stats in the Chateau Summer School, August 31 - September 4, 2009 (Paperback, Edition.) Loot Price: R1,408
Discovery Miles 14 080
Inverse Problems and High-Dimensional Estimation - Stats in the Chateau Summer School, August 31 - September 4, 2009...

Inverse Problems and High-Dimensional Estimation - Stats in the Chateau Summer School, August 31 - September 4, 2009 (Paperback, Edition.)

Pierre Alquier, Eric Gautier, Gilles Stoltz

Series: Lecture Notes in Statistics, 203

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The "Stats in the Chateau" summer school was held at the CRC chateau on the campus of HEC Paris, Jouy-en-Josas, France, from August 31 to September 4, 2009. This event was organized jointly by faculty members of three French academic institutions ENSAE ParisTech, the Ecole Polytechnique ParisTech, and HEC Paris which cooperate through a scientific foundation devoted to the decision sciences.

The scientific content of the summer school was conveyed in two courses, one by Laurent Cavalier (Universite Aix-Marseille I) on "Ill-posed Inverse Problems," and one by Victor Chernozhukov (Massachusetts Institute of Technology) on "High-dimensional Estimation with Applications to Economics." Ten invited researchers also presented either reviews of the state of the art in the field or of applications, or original research contributions.

This volume contains the lecture notes of the two courses. Original research articles and a survey complement these lecture notes. Applications to economics are discussed in various contributions.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Lecture Notes in Statistics, 203
Release date: June 2011
First published: 2011
Editors: Pierre Alquier • Eric Gautier • Gilles Stoltz
Dimensions: 235 x 155 x 13mm (L x W x T)
Format: Paperback
Pages: 198
Edition: Edition.
ISBN-13: 978-3-642-19988-2
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Science & Mathematics > Mathematics > Probability & statistics
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LSN: 3-642-19988-7
Barcode: 9783642199882

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