A nuanced quantile random forest approach for fast prediction of a stochastic marine flooding simulator applied to a macrotidal coastal site - BRGM - Bureau de recherches géologiques et minières Access content directly
Journal Articles Stochastic Environmental Research and Risk Assessment Year : 2020

A nuanced quantile random forest approach for fast prediction of a stochastic marine flooding simulator applied to a macrotidal coastal site

No file

Dates and versions

hal-02913621 , version 1 (10-08-2020)

Identifiers

Cite

Jeremy Rohmer, Déborah Idier, Rodrigo Pedreros. A nuanced quantile random forest approach for fast prediction of a stochastic marine flooding simulator applied to a macrotidal coastal site. Stochastic Environmental Research and Risk Assessment, 2020, 34 (6), pp.867-890. ⟨10.1007/s00477-020-01803-2⟩. ⟨hal-02913621⟩

Collections

BRGM ANR BRGM-DO
33 View
0 Download

Altmetric

Share

Gmail Facebook X LinkedIn More