| Sparsity and Inverse Problems in Statistical Theory and
Econometrics |
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Tentative |
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to main page |
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| Friday,
Dec. 5, 2008 |
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Saturday. Dec. 6, 2008 |
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| 8:30-9:00 |
Registration |
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Chair: Vladimir Spokoiny |
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Chair: Peter Bickel |
| 9:05-0:45 |
Joel Horowitz |
Variable selection in
nonparametric additive models |
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09:00-09:40 |
Alexandre Tsybakov |
Some methods of sparse
recovery |
| 09:45-10:25 |
Alois Kneip. |
The prediction error in
functional regression |
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09:40-10:20 |
Peter Buelmann |
Stability Selection for High-Dimensional
Data |
| 10:25-11:05 |
Volker Krätschmer |
Inverse problems in
empirical risk attitudes |
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10:20-11:00 |
Sara van-der-Geer |
The incoherence condition in
additive models |
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Chair: Markus Reiß |
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Chair: Gilles Blanchard |
| 11:30-11:50 |
Hannes Nickisch |
Variational Inference and
Experimental Design for Sparse Linear Models (with Matthias Seeger) |
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11:30-11:50 |
David Hardoon |
Sparse Canonical Correlation
Analysis |
| 11:50-12:10 |
Stefan Haufe |
Groupwise sparsity enforcing
estimators for solving the EEG/MEG inverse problem |
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11:50-12:10 |
Zakria Hussain |
Matching pursuit algorithms
in machine learning |
| 12:10-12:30 |
Meister, Alexander |
Nonparametric estimation of
the error distribution in software testing |
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Chair: Tobias Ryden |
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| 14:00-14:40 |
Peter Bickel |
Kernel Representations and
Kernel Density Estimation |
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| 14:40-15:20 |
Gérard Biau |
Consistency of random
forests and other averaging classifiers (joint work with L. Devroye and G.
Lugosi) |
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| 15:20-16:00 |
Benedikt Poetscher |
Confidence Sets Based on
Sparse Estimators and Related Results on the Distribution of Penalized
Maximum Likelihood Estimators
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Chair: Denis Belomestny |
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| 16:00-16:20 |
Anneleen Verhasselt |
Nonnegative garrote in
additive models using Psplines |
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| 16:20-16:40 |
Sébastien Loustau |
Statistical performances of
SVM regularization in classification |
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| 16:40-17:00 |
Nora Serdyukova |
Approximation of random
fields in high dimension |
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| 19:30 |
Workshop dinner |
Cum Laude |
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