Application of semiparametric function-on-scalar regression for modeling spatio-temporal earthquake dynamics

We present a generalized functional additive regression model for modeling spatio-temporal earthquake dynamics based on function-on-scalar regression. The flexibility of our semiparametric, spline-based approach is highlighted, both with focus on estimating complex effect structures and on accounting for spatial and temporal correlation structures in the data. For estimation based on this large data set of earthquake dynamics, a recently developed efficient algorithm for penalized likelihood-based inference is used.

@inproceedings{id2373,
  author = {Bauer, Alexander  and Scheipl, Fabian   and K\"uchenhoff, Helmut and Gabriel, Alice-Agnes},
  booktitle = {Proceedings of the 49th Scientific meeting of the Italian Statistical Society, Palermo, Italy},
  language = {en},
  organization = {49th Scientific meeting of the Italian Statistical Society - Functional statistics for Spatiotemporal Data (in collaboration with the Royal Statistical Society)},
  title = {Application of semiparametric function-on-scalar regression for modeling spatio-temporal earthquake dynamics},
  url = {https://www.geophysik.uni-muenchen.de/{\textasciitilde}gabriel/bauer\_sis.pdf},
  year = {2018},
}

%O Conference Proceedings
%A Bauer, Alexander 
%A Scheipl, Fabian  
%A Küchenhoff, Helmut
%A Gabriel, Alice-Agnes
%B Proceedings of the 49th Scientific meeting of the Italian Statistical Society, Palermo, Italy
%G en
%I 49th Scientific meeting of the Italian Statistical Society - Functional statistics for Spatiotemporal Data (in collaboration with the Royal Statistical Society)
%T Application of semiparametric function-on-scalar regression for modeling spatio-temporal earthquake dynamics
%U https://www.geophysik.uni-muenchen.de/~gabriel/bauer_sis.pdf
%D 2018