Rate My Professor Ian Harris

Harris's research specializations include hierarchical linear models and sampling issues, variance components with a focus on intraclass correlation, mixture models, approximation of special functions, and saddlepoint methods. He has authored or co-authored numerous publications in leading journals. Notable works include "Predictive fit for natural exponential families" (Biometrika, 1989), "Robust predictive distributions for exponential families" with A. Basu (Biometrika, 1994), "Tests of hypotheses in discrete models based on the penalized Hellinger distance" with A. Basu and S. Basu (Statistics and Probability Letters, 1996), and book chapters such as "Minimum Distance Estimation: The Approach using Density-Based distances" in the Handbook of Statistics (1997). His scholarship has received over 1,700 citations. Harris has advised multiple Ph.D. dissertations, including those of L. Vazquez (2023) on influence diagnostics for generalized estimating equations and R.P.A. McShane (2019) on modeling stochastically intransitive relationships. Among his honors are the Altshuler Distinguished Teaching Professor Award in 2008, membership in the Academy of Distinguished Teachers, and the Extra Mile teaching award in 2015. He has contributed to university governance through roles on Faculty Senate committees, including chairing the Academic Calendar Committee.