Armine Bagyan

Biography

Armine Bagyan is an Associate Teaching Professor of Statistics at Penn State.

She received her Ph.D. in Statistics from Penn State University in 2015. She received her M.S. in Mathematics from the Moscow State University.

Dr. Bagyan serves as the Department Coordinator for Graduate Minor in Statistics and a member of Undergraduate Standing Committee and Non-Tenure Promotion Committee. She serves as an undergraduate advisor to Statistics majors and Schreyer Honors College students.

Her research interests include limit theorems, probability inequalities for random positive definite matrices, and dimension reduction. 

Publications

• Bagyan, A., and Richards, D. (2024). Complete asymptotic expansions for the normalizing constants of high-dimensional matrix Bingham and matrix Langevin distributions. SIGMA, 20, 094.
• Bagyan, A., and Richards, D. (2023). Complete asymptotic expansions and the high-dimensional Bingham distributions. TEST, 33, pp. 540-563.
• Bagyan, A. and Richards, D. (2023). A continuous-time Markov chain model for the spread of COVID-19. The College Mathematics Journal, 55, pp. 210-214.
• Bagyan, A. and Richards, D. (2022). Hoffmann-Jørgensen inequalities for random walks on the cone of positive definite matrices. Journal of Theoretical Probability, 36, pp. 1181-1202.
• Bagyan, A. (2015). Central Limit Theorems for Randomly Modulated Sequences of Random Vectors with Resampling and Applications to Statistics. Doctoral Dissertation, Penn State University.
• Bagyan, A., Tempelman, A., and Li, B. (2010). Asymptotic distributions of projections of high-dimensional random vectors. Proceedings of the Joint Statistical Meetings, pp. 4221-4230.
• Bagyan, A. (2005). Hausdorff dimension of some sets in the path space of a finite graph. Proceedings of XXVII Young Scientists Conference, Moscow State University

Teaching

STAT 318 - Elementary Probability

STAT 319 - Applied Statistics in Science

STAT 401 - Experimental Methods

STAT 414 - Introduction to Probability Theory (UP and World Campus)

STAT 415 - Introduction to Mathematical Statistics

STAT 416 - Stochastic Modeling

STAT 418 - Introduction to Probability and Stochastic Processes for Engineering

STAT 462 - Applied Regression Analysis

STAT 463 - Applied Time Series Analysis

STAT 500 - Applied Statistics (UP and World Campus)

STAT 502 - Analysis of Variance and Design of Experiments