Mathematical Statistics and Learning
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Published By European Mathematical Society Publishing House

2520-2316
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

scholarly journals Distribution-free robust linear regression

2022 ◽  
Author(s):  
Jaouad Mourtada ◽  
Tomas Vaškevičius ◽  
Nikita Zhivotovskiy
Keyword(s):  
Linear Regression ◽  
Distribution Free ◽  
Robust Linear Regression

scholarly journals Tensor denoising with trend filtering

2022 ◽  
Author(s):  
Francesco Ortelli ◽  
Sara van de Geer

scholarly journals Detecting a botnet in a network

2021 ◽  
Vol 3 (3) ◽  
pp. 315-343
Author(s):  
Gianmarco Bet ◽  
Kay Bogerd ◽  
Rui M. Castro ◽  
Remco van der Hofstad

scholarly journals The all-or-nothing phenomenon in sparse linear regression

2021 ◽  
Vol 3 (3) ◽  
pp. 259-313
Author(s):  
Galen Reeves ◽  
Jiaming Xu ◽  
Ilias Zadik
Keyword(s):  
Linear Regression

scholarly journals Structural adaptation in the density model

2021 ◽  
Vol 3 (3) ◽  
pp. 345-386
Author(s):  
Oleg V. Lepski ◽  
Gilles Rebelles
Keyword(s):  
Density Model ◽  
Structural Adaptation

scholarly journals Compressive statistical learning with random feature moments

2021 ◽  
Vol 3 (2) ◽  
pp. 113-164
Author(s):  
Rémi Gribonval ◽  
Gilles Blanchard ◽  
Nicolas Keriven ◽  
Yann Traonmilin
Keyword(s):  
Statistical Learning

scholarly journals Statistical learning guarantees for compressive clustering and compressive mixture modeling

2021 ◽  
Vol 3 (2) ◽  
pp. 165-257
Author(s):  
Rémi Gribonval ◽  
Gilles Blanchard ◽  
Nicolas Keriven ◽  
Yann Traonmilin
Keyword(s):  
Statistical Learning ◽  
Mixture Modeling

scholarly journals Nonparametric adaptive inference of birth and death models in a large population limit

2021 ◽  
Vol 3 (1) ◽  
pp. 1-69
Author(s):  
Alexandre Boumezoued ◽  
Marc Hoffmann ◽  
Paulien Jeunesse
Keyword(s):  
Large Population ◽  
Adaptive Inference ◽  
Large Population Limit
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