SpatialGEV: Fast Bayesian inference for spatial extreme value models in R

R C++ Submitted 08 June 2024Published 08 November 2024
Review

Editor: @vissarion (all papers)
Reviewers: @fabian-s (all reviews), @fernandomayer (all reviews)

Authors

Meixi Chen (0000-0003-1012-5352), Martin Lysy (0000-0001-9974-1121), Reza Ramezan (0000-0003-0450-3249)

Citation

Chen et al., (2024). SpatialGEV: Fast Bayesian inference for spatial extreme value models in R. Journal of Open Source Software, 9(103), 6878, https://doi.org/10.21105/joss.06878

@article{Chen2024, doi = {10.21105/joss.06878}, url = {https://doi.org/10.21105/joss.06878}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {103}, pages = {6878}, author = {Meixi Chen and Martin Lysy and Reza Ramezan}, title = {SpatialGEV: Fast Bayesian inference for spatial extreme value models in R}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

Bayesian inference spatial model extreme value

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066