INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles

Thomas Opitz, Raphaël Huser*, Haakon Bakka, Håvard Rue

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

48 Scopus citations

Fingerprint

Dive into the research topics of 'INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles'. Together they form a unique fingerprint.

Mathematics

Earth and Planetary Sciences

Computer Science

INIS

Economics, Econometrics and Finance