Liberal Arts and Sciences
Doss Lab
Led by Hani Doss · Statistics
Auto-generated from UF undergraduate research symposium abstracts
What we study
The Doss group develops statistical methods: Markov chain Monte Carlo (computer simulation for fitting complex models), nonparametric and semiparametric Bayesian methods, and Bayesian methods in biostatistics.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Papers
- 2
Recent papers, explained
- Scalable Empirical Bayes Inference and Bayesian Sensitivity Analysis
2024 · Statistical Science
Uses empirical Bayes methods to estimate priors and analyze Bayesian sensitivity.
- An Empirical Bayes Approach to Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices
2022 · Journal of the American Statistical Association
Develops shrinkage estimators for symmetric positive-definite matrices using Log-Euclidean metrics.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
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Open positions
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