DSWL package: a Python implementation of the Debiased Spatial Whittle Likelihood

Python Submitted 13 March 2025 • Published 25 March 2026
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Authors

Arthur P. Guillaumin (0000-0003-1571-4228), Thomas Goodwin (0000-0003-1394-808X), Olivia Walbert (0000-0002-6026-5014), Adam M. Sykulski (0000-0002-5564-3674), Sofia C. Olhede (0000-0003-0061-227X), Frederik J. Simons (0000-0003-2021-6645)

Citation

Guillaumin et al., (2026). DSWL package: a Python implementation of the Debiased Spatial Whittle Likelihood. Journal of Open Source Software, 11(119), 8323, https://doi.org/10.21105/joss.08323

@article{Guillaumin2026, doi = {10.21105/joss.08323}, url = {https://doi.org/10.21105/joss.08323}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {119}, pages = {8323}, author = {Guillaumin, Arthur P. and Goodwin, Thomas and Walbert, Olivia and Sykulski, Adam M. and Olhede, Sofia C. and Simons, Frederik J.}, title = {DSWL package: a Python implementation of the Debiased Spatial Whittle Likelihood}, journal = {Journal of Open Source Software} }
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spatial spatio-temporal likelihood covariance modelling gaussian processes

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