DS
Daniel Simpson is a statistician at the University of Toronto in Canada. His research focuses on Bayesian computational statistics, spatial and spatio-temporal modeling, and efficient inference methods for complex hierarchical models. He has contributed to methodology and software for approximate Bayesian inference, including integrated nested Laplace approximation.
- Field
- Mathematics · Statistics
- Clarivate categories
- Mathematics
- Affiliation
- University of Toronto, Canada