Michael D. Power is an assistant professor of instruction in the Department of Statistical Science at the Fox School.
Power’s research interests include Bayesian statistics, multivariate analysis, probability theory and sufficient dimension reduction. While earning his doctorate, Power worked as a teaching assistant in the Fox School’s Department of Statistical Science. He also previously served as an adjunct instructor at La Salle University in the Department of Mathematics and Computer Science.
Power earned his PhD and MS in statistics from the Fox School. He also received his BA and MA in mathematics from Temple University and Villanova University, respectively.
- Bayesian statistics
- Multivariate analysis
- Probability theory
- Sufficient dimension reduction
- Power, M.D. & Dong, Y. (2020). Comment on “A selective overview of Sparse Sufficient Dimension Reduction.” Statistical Theory and Related Fields (forthcoming).
- Power, M.D. & Dong, Y. (2020). “Bayesian Model Averaging Sufficient Dimension Reduction.” Submitted.
- Power, M.D., Soale, A., & Dong, Y. (2020). “A review of moment-based sufficient dimension reduction methods for multivariate response.” In preparation.