Overview
Dipak K. Dey is a Bayesian statistician (Board of Trustees Distinguished Professor, University of Connecticut) with broad contributions to Bayesian model diagnostics and selection, survival analysis, generalized linear models, and high-dimensional and directional data.
Key Contributions / Features
- Bayesian mortality modeling (Chen-Dey-Sinha 2000): time-dependent random-effects logistic (discretized) hazard model for toxicological multivariate mortality data with large families; historical-data power prior; Bayesian variable selection and predictive model comparison. Applied Statistics 49(1): 129–144.
- Bayesian model choice and diagnostics: predictive-loss / L-measure criteria and Bayesian generalized-linear-model methodology (with Gelfand, Ibrahim, and others).
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