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Changzhi Ma

Changzhi Ma

Changzhi Ma

Pronouns: she/her/hers

Assistant Professor of Statistical and Data Sciences

cma@wooster.edu

Office: Taylor 306

Degrees

  • Ph.D., Computational Mathematics (concentration in Statistics), UNC Greensboro
  • M.S., Applied Statistics, Wright State University, Ohio
  • Ph.D., Management Science & Engineering, Guangdong University of Technology, China
  • B.S., Management, Guangdong Ocean University, China
Areas of Interest

My research centers on time series modeling, especially long-memory and spectral methods to reveal persistent structure in real-world data. Much of my work focuses on economic indicators like the Consumer Price Index (CPI), using time-series analysis to study persistent movements that shape how we view inflation and economic stability. I’ve also analyzed healthcare data, including HbA1c levels in diabetes patients, to understand how these measures reflect long-term health outcomes.

I also study organizational behavior data, using quantitative methods to examine employee ethics and behavior. Across economics, healthcare, and management science, my goal is to connect practical problems with clear, data-driven insights.

Courses Taught
  • Introduction to Statistics
  • Probability Theory
  • Statistical Theory
Selected Talks
  • WSDS 2025 – Long-Range Dependence in Economic Time Series: Improved Estimation and Forecasting of CPI Using a Modified GPH Method.
    ASA Women in Statistics and Data Science, Cincinnati, OH, Nov. 12-14, 2025.
  • WSDS 2024 – Estimation of the Long-Range Dependence Parameter in Processes with Stationary Increments.
    ASA Women in Statistics and Data Science, Reston, VA, Oct. 16-18, 2024.
  • JSM 2024 – Estimation of the Long-Range Dependence Parameter in Processes with Stationary Increments.
    ASA Joint Statistical Meetings, Portland, OR, Aug. 3-8, 2024.
  • SDSS 2024 – Estimation of the Long-Range Dependence Parameter with Stationary Increments.
    ASA Symposium on Data Science and Statistics, Richmond, VA, June 4-7, 2024.