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



Bayesian nonparametric scalar-on-image regression via Potts-Gibbs random partition models


Conference paper


Mica Teo, Sara Wade
Springer Proceedings in Mathematics and Statistics, New Frontiers in Bayesian Statistics, BAYSM 2021: Selected Contributions, 2022, pp. 45-56


Paper
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Cite

APA   Click to copy
Teo, M., & Wade, S. (2022). Bayesian nonparametric scalar-on-image regression via Potts-Gibbs random partition models. In New Frontiers in Bayesian Statistics, BAYSM 2021: Selected Contributions (pp. 45–56). https://doi.org/10.1007/978-3-031-16427-9_5


Chicago/Turabian   Click to copy
Teo, Mica, and Sara Wade. “Bayesian Nonparametric Scalar-on-Image Regression via Potts-Gibbs Random Partition Models.” In New Frontiers in Bayesian Statistics, BAYSM 2021: Selected Contributions, 45–56. Springer Proceedings in Mathematics and Statistics, 2022.


MLA   Click to copy
Teo, Mica, and Sara Wade. “Bayesian Nonparametric Scalar-on-Image Regression via Potts-Gibbs Random Partition Models.” New Frontiers in Bayesian Statistics, BAYSM 2021: Selected Contributions, 2022, pp. 45–56, doi:10.1007/978-3-031-16427-9_5.


BibTeX   Click to copy

@inproceedings{mica2022a,
  title = {Bayesian nonparametric scalar-on-image regression via Potts-Gibbs random partition models},
  year = {2022},
  pages = {45-56},
  series = {Springer Proceedings in Mathematics and Statistics},
  doi = {10.1007/978-3-031-16427-9_5},
  author = {Teo, Mica and Wade, Sara},
  booktitle = {New Frontiers in Bayesian Statistics, BAYSM 2021: Selected Contributions}
}


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