Yeonwoo Rho

Yeonwoo Rho

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  • Assistant Professor, Mathematical Sciences
  • PhD, Statistics, University of Illinois at Urbana-Champaign
  • MS, Statistics, Seoul National University
  • BS/BA, Mathematics/Economics, Seoul National University

Biography

Yeonwoo Rho received her B.S. in Mathematics, B.A. in Economics, and M.S. in Statistics at Seoul National University, followed by a PhD in Statistics at University of Illinois at Urbana-Champaign. After her graduation, she is working as an Assistant Professor in Statistics in the Department of Mathematical Sciences at Michigan Technological University. Her main research areas include (but not limited to) time series analysis, econometrics, mixed frequency data sampling, bootstrap and resampling methods, and self-normalization. She is a co-PI of a recently funded NSF project "An Actuarial Framework of Cyber Risk Management for Power Grids," broadening her expertise to actuarial sciences, spatial-temporal statistics, and dependency modeling using copulas. She is a member of the American Statistical Association and Korean International Statistical Society.

Areas of Expertise

  • Time Series Analysis
  • Econometrics
  • Bootstrap/Resampling

Research Interests

  • Unit Root Testing
  • Mixed Frequency Data
  • Clustering using Penalized Regression