This fall, we are happy to welcome Dr. Nilabja Guha to the Department of Mathematical Sciences. Dr. Guha is a statistician who was at Texas A&M University in a postdoctoral position prior to joining UML. He received his doctoral degree in statistics from the University of Maryland Baltimore County where his adviser was Dr Anindya Roy.
Dr Guha’s research interest include Bayesian Modeling, Inverse problems, Uncertainty Quantification, High-dimensional Problems and Graphical Modeling.
Some of his recent publications are
- Guha, Nilabja, Anindya Roy, Yaakov Malinovsky, and Gauri Datta., 2016. An optimal shrinkage factor in prediction of ordered random effects. Statistica Sinica 26: 1709-1728.
- Guha, N. and Tan, X., 2017. Multilevel approximate Bayesian approaches for flows in highly heterogeneous porous media and their applications. Journal of Computational and Applied Mathematics, 317, pp.700-717.
- Yang, K., Guha, N., Efendiev, Y. and Mallick, B.K., 2017. Bayesian and variational Bayesian approaches for flows in heterogeneous random media. Journal of Computational Physics, 345, pp.275-293.