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), 2002-2006, Isfahan University of Technology, Iran.

PhD thesis: Clustering and forecasting  large collections of time series

Master thesis: Bayesian inference for non-Gaussian Ornstein-Uhlenbeck stochastic volatility processes


Research Interests:

- Time series analysis and time series clustering

- Data mining and predictive analytics

- Big data analysis 


Journal Papers:

- Assessing the value of an information system for developing predictive analytics: the case of forecasting school-level demand in Taiwan, Journal of Service Science (INFORMS), Vol. 10, No. 1, March 2018, pp. 1-18.  

Working papers:

- Tree-based methods for clustering time series using domain-relevant attributes, working paper (submitted to a Business Analytics journal (Taylor & Francis Online))

- A fast and elegant method for forecast reconciliation using linear forecasting models, working paper.