Philip D. Young

Professional Summary

Experienced statistics educator and researcher with a strong background in both classical and Bayesian statistical methods. Demonstrated expertise in consulting with researchers across disciplines, teaching undergraduate and graduate courses in statistics and business analytics, and applying statistical methodologies to real-world problems. Skilled in communicating complex statistical concepts effectively and mentoring students to develop analytical and self-regulatory skills.

Education

• 2009 – PhD, Statistical Science, Baylor University, Waco, Texas
• 2008 – MS, Statistics, Baylor University, Waco, Texas
• 2005 – BS, Applied Mathematics, Baylor University, Waco, Texas

Courses

• QBA 2302 – Business Analysis I
• QBA 3305 – Introduction to Business Analytics
• QBA 5302 – Business Foundations – Statistics
• MIS 6320 – Quantitative Methods for Information Systems Research
• NUR 5201 – Introduction to Statistical Methods (Assistant)
• STA 5384 – Multivariate Statistical Methods

Research Interests

• Statistical Pattern Recognition and Machine Learning
• Discriminant Analysis and Dimension Reduction
• Covariance Matrices and Least Squares Estimators
• Big Data Analysis and Longitudinal Modeling
• Bayesian and Classical Statistical Methods

Selected Publications

• Roberts, J.A., Young, P.D. and David, M.E., 2024. The Epidemic of Loneliness: A 9-Year Longitudinal Study of the Impact of Passive and Active Social Media Use on Loneliness. Personality and Social Psychology Bulletin, p.01461672241295870.
• Young, Phil D., Kahle, David J., and Young, Dean M. (2017).  On the independence of singular multivariate skew-normal sub-vectors, Statistics & Probability Letters, Vol. 122, pp. 58–62.
• Young, P D., Harville, J. A., and Young, D. M. (2016).  A derivation of the multivariate singular skew-normal density function, Statistics & Probability Letters, Vol. 117, pp. 40–45.
• Young, P. D., Patrick, J. D., & Young, D. M. (2021). Dimension reduction for detecting a difference in two high-dimensional mean vectors. Open Journal of Statistics, 11, 243–257.
• Wiley, B., Elrod, C., Young, P. D., & Young, D. M. (2021). An integrated likelihood confidence interval for a proportion from underreported data using double sampling. Statistica Neerlandica, 75, 290–298.
• Kahle, D., Young, P. D., Greer, B., and Young, D. M. (2016).  Confidence intervals for the ratio of two Poisson rates under differential misclassification using double sampling.  Computational Statistics & Data Analysis, Vol. 25, pp. 122–132.
• Garner, S. L., Wong, C. L., Young, P. D., Fendt, M., Hitchcock, J., & George, C. E. (2022). Mobile health to improve hypertension and diabetes health literacy among Asian and Indian migrants to Hong Kong. CIN: Computers, Informatics, Nursing, 40, 269–277.