Mahsa Ashouri


Education:

PhD, 2015 - present, Institute of Service Science, National Tsing Hua University, Taiwan (R.O.C)

MSc (Statistics), 2008-2011, Isfahan University of Technology, Iran.

BSc (Statistics), 2002-2007, Isfahan University of Technology, Iran.


Research Interests:

Data mining (decision trees and random forests ), Time series analysis and time series clustering, Big data analysis.


Paper and research:

-Bayesian inference for Non-Gaussian Ornstein-Uhlenbeck Stochastic Volatility Processes”, Master Thesis, Jun 2011.

-Using centered and non-centered algorithms for simulating S&P share index data”, Mahsa Ashouri, Proceedings of theCIAS2012, 2nd January, 2012, Indian Statistical institute, India.

 

-Non-centered Algorithm for Simulating Non-Gaussian Ornstein-Uhlenbeck Stochastic Volatility Processes”, Mahsa Ashouri & Molood Alimirzaei, Proceedings of the 8th International Seminar on Probability and Stochastic Processes, 11th September, 2011, University of Rasht, Iran.

 

-Bayesian inference for Non-Gaussian Ornstein-Uhlenbeck Stochastic Volatility Processes”, Mahsa Ashouri, Proceedings of the 6th Statistics National Congress, 23th February, 2011, Payame Noor University of Ahvaz, Iran.