Biography
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.
Research Interests
- Bayesian Statistics
- Machine Learning
- Multivariate Analysis
- Probability Theory
- Statistics Education
- Sufficient Dimension Reduction
Courses Taught
Number | Name | Level |
|---|---|---|
STAT 1001 | Quantitative Methods for Business I | Undergraduate |
STAT 1102 | Quantitative Methods for Business II | Undergraduate |
Selected Publications
Recent
Power, M. & Dong, Y. (2021). Bayesian model averaging sliced inverse regression. Statistics and Probability Letters, 174. doi: 10.1016/j.spl.2021.109103.
Power, M. & Dong, Y. (2020). Comment on ‘Review of sparse sufficient dimension reduction’. Statistical Theory and Related Fields. doi: 10.1080/24754269.2020.1829394.