Sara Wade

Reader in Statistics and Data Science


Curriculum vitae


[email protected]


School of Mathematics

University of Edinburgh

Room 5406
James Clerk Maxwell Building, Edinburgh, EH9 3FD



Posterior inference for sparse hierarchical non-stationary models


Journal article


K. Monterrubio-Gomez, L. Roininen, S. Wade, T. Damoulas, M. Girolami
Computational Statistics & Data Analysis, vol. 148, 2020, pp. 1-22


Paper
Cite

Cite

APA   Click to copy
Monterrubio-Gomez, K., Roininen, L., Wade, S., Damoulas, T., & Girolami, M. (2020). Posterior inference for sparse hierarchical non-stationary models. Computational Statistics &Amp; Data Analysis, 148, 1–22. https://doi.org/10.1016/j.csda.2020.106954}


Chicago/Turabian   Click to copy
Monterrubio-Gomez, K., L. Roininen, S. Wade, T. Damoulas, and M. Girolami. “Posterior Inference for Sparse Hierarchical Non-Stationary Models.” Computational Statistics & Data Analysis 148 (2020): 1–22.


MLA   Click to copy
Monterrubio-Gomez, K., et al. “Posterior Inference for Sparse Hierarchical Non-Stationary Models.” Computational Statistics &Amp; Data Analysis, vol. 148, 2020, pp. 1–22, doi:10.1016/j.csda.2020.106954}.


BibTeX   Click to copy

@article{monterrubio-gomez2020a,
  title = {Posterior inference for sparse hierarchical non-stationary models},
  year = {2020},
  journal = {Computational Statistics & Data Analysis},
  pages = {1-22},
  volume = {148},
  doi = {10.1016/j.csda.2020.106954}},
  author = {Monterrubio-Gomez, K. and Roininen, L. and Wade, S. and Damoulas, T. and Girolami, M.}
}


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