Aurélie Boisbunon
Aurélie Boisbunon
MyDataModels
確認したメール アドレス: mydatamodels.com - ホームページ
タイトル
引用先
引用先
Akaike's Information Criterion, Cp and Estimators of Loss for Elliptically Symmetric Distributions
A Boisbunon, S Canu, D Fourdrinier, W Strawderman, MT Wells
International Statistical Review, 2014
55*2014
Inadmissibility of the best equivariant predictive density in the unknown variance case
A Boisbunon, Y Maruyama
Biometrika, 2014
112014
Active set strategy for high-dimensional non-convex sparse optimization problems
A Boisbunon, R Flamary, A Rakotomamonjy
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
92014
The class of multivariate spherically symmetric distributions
A Boisbunon
Université de Rouen, Technical Report,# 2012-005, 2012
72012
Model selection: a decision-theoretic approach
A Boisbunon
Normandie Université, 2013
42013
Large Scale Sparse Optimization for Object Detection in High Resolution Images
A Boisbunon, R Flamary, A Rakotomamonjy, A Giros, J Zerubia
22014
POT: Python Optimal Transport
R Flamary, N Courty, A Gramfort, MZ Alaya, A Boisbunon, S Chambon, ...
Journal of Machine Learning Research 22 (78), 1-8, 2021
12021
Estimation of the weight parameter with SAEM for marked point processes applied to object detection
A Boisbunon, J Zerubia
2014 22nd European Signal Processing Conference (EUSIPCO), 2185-2189, 2014
12014
Zoetrope Genetic Programming for Regression
A Boisbunon, C Fanara, I Grenet, J Daeden, A Vighi, M Schoenauer
arXiv preprint arXiv:2102.13388, 2021
2021
Sélection de modèle: une approche décisionnelle
A Boisbunon
Université de Rouen, 2013
2013
Criteria for variable selection with dependence
A Boisbunon, S Canu, D Fourdrinier
2011
Sélection de variables dans le modele linéaire
A Boisbunon, D Fourdrinier, S Canu
2010
A global procedure for variable selection
A Boisbunon, S Canu, D Fourdrinier
A trade-off between Gaussian and worst case analysis for model selection
A Boisbunon, S Canu, D Fourdrinier
Critères robustes de sélection de variables pour le modèle linéaire via l’estimation de coût
A Boisbunon, S Canu, D Fourdrinier
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