Professor & Director of the ASRM Program
Ph.D., Statistics and Probability
Pennsylvania State University
University of Pittsburgh
B.S. & M.S., Mathematics
China University of Sciences and Technology
Areas of Expertise
Probability & Statistics
Dr. Min Deng graduated from the China University of Science and Technology, with a
Bachelor’s in Mathematics and Master’s in Differential Geometry. She continued her
studies in the field of Statistics, receiving a second Master’s from the University
of Pittsburgh and her Ph.D. from the Pennsylvania State University in 1990. She went
on to complete a Post-Doctoral Fellowship in the Department of Chemical Engineering
at the University of Toronto. She is a Fellow of Society of Actuaries.
Dr. Deng has more than 25 years of distinguished teaching experience, specializing
in mathematics, statistics, and actuarial science. Starting as an assistant professor
in the Department of Statistics and Actuarial Science at the University of Toronto
in 1992, she continued her career as professor of Statistics and Actuarial Science
at University of Wisconsin-Stevens Point, professor and director of Mathematics and
Actuarial Science at Maryville University, and finally joined Towson University in
2016. Her teaching methods have been widely recognized through multiple excellent
teacher awards at both the University of Wisconsin-Stevens Point and Maryville University.
Dr. Deng is also widely published in research, frequently presenting and publishing
papers at international conferences. She is an author of the book “Paper: An Engineered
Stochastic Structure” and many other research papers. Her research interests include
differential geometry in statistical inference, especially in the second order asymptotically
problems, series problems using differential geometric methods such as engineered
stochastic structure, and actuarial science, especially in the areas of risk theory,
maximum loss and claim amounts.
- Predictive Modeling of Threshold Life Tables (with M. Ji and M.S. Aminzadeh), North American Actuarial Journal (2019).
- Bayesian predictive modeling for Inverse Gamma-Pareto composite distribution (with M.S. Aminzadeh), Communication in Statistics – Theory and Methods 48 (2019), 1938–1954.
- Bayesian Predictive Modeling for Exponential-Pareto Composite Distribution (with M.S. Aminzadeh), Variance 12 (2018), 59–68.
- Modeling with Mixture of the Popular Models, American Statistical Association 2015 Proceedings: Business and Economic Statistics
View more information: https://www.towson.edu/fcsm/departments/mathematics/facultystaff/mdeng.html