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Proceedings/Recueil Des Communications Année : 2017

Robust Fusion Methods for Big Data

Résumé

We address one of the important problems in Big Data, namely how to combine estimators from different subsamples by robust fusion procedures, when we are unable to deal with the whole sample.

Dates et versions

hal-01620169 , version 1 (20-10-2017)

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Citer

Catherine Aaron, Alejandro Cholaquidis, Ricardo Fraiman, Badih Ghattas. Robust Fusion Methods for Big Data. Fourth International Workshop on Functional and Operatorial Statistics, Jun 2017, Coruña, Spain. Springer, pp.7 - 14, 2017, Functional Statistics and Related Fields, 978-3-319-55845-5. ⟨10.1007/978-3-319-55846-2_2⟩. ⟨hal-01620169⟩
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