معرفی
Dipak Dey is a Professor in the Department of Statistics at the University of Connecticut. His work bridges theoretical and applied statistics, with a focus on Bayesian methodologies and computational statistics.
- Affiliations: University of Connecticut, Department of Statistics
- Contact: dipak.dey@uconn.edu, Office: AUST 327, Phone: (860) 486-4755
His research interests span Bayesian analysis, Biostatistics, Computational statistics, Statistical genetics, and Spatio-temporal modeling. He has pioneered techniques in spatial curvature processes and scalable Bayesian algorithms for large datasets.
Recent publications highlight his contributions to Bayesian spatial modeling (blockNNGP, curvature processes), survival analysis (skew-t distributions, cure rate models), and computational statistics (variable selection in Gaussian processes, fast inference algorithms). Applications include insurance data, epidemiology, and environmental statistics.
- Scientific Awards: Board of Trustees Distinguished Professor (University of Connecticut)
He actively collaborates on interdisciplinary projects and mentors researchers in advanced statistical methodologies for complex data structures.
