Except for sabbaticals and leaves of absence, I have been at Pitt since I earned my PhD in Statistics at Stanford. My early work was on the approximation of multivariate probabilities and meta-analysis. My interests include applications of diffusion and point processes and multivariate mixture models, especially to problems in psychiatry and neuroscience. I have served on the Food and Drug Administration’s Advisory Committee for Psychopharmacologic Drugs, and for many years I served on the National Security Agency’s Statistics Advisory Group at Stanford.
I have taught a wide range of undergraduate and graduate courses. Recently, they include probability theory, stochastic differential equations, applied multivariate analysis, asymptotic theory, and statistical consulting.
- PhD, Statistics, Stanford University, 1982
- BA, Mathematics, Harvard University, 1978
Education & Training
- P.R. Krishnaiah Memorial Lecturer at Penn State University, 2017
- Provost’s graduate mentoring award, 2018
Czanner, G., Gruen, S., Iyengar, S. (2005). Theory of the snowflake plot and its relations to higher-order analysis methods. Neural Computation, 17, 1456-1479.
Krimer, L., Zaitsev, A., Czanner, G., Kroner, S., Gonzalez-Burgos, G., Povysheva, N., Iyengar, S., Barrioneuvo, G., Lewis, D. (2005). Clusteranalysis-based physiological classification and morphological properties of inhibitory neurons in layers 2-3 of monkey dorsolateral prefrontal cortex. Journal of Neurophysiology, 94(5), 3009-3022.
Iyengar, S., Liao, Q. (1997). Modeling neural activity using the generalized inverse Gaussian distribution. Biological Cybernetics, 77, 289--295.
Bridge, J., Iyengar, S., Salary, C., Barbe, R., Birmaher, B., Pincus, H., Ren, L., Brent, D. (2007). Balancing efficacy and risk in the use of pediatric antidepressant treatment: A meta-analysis of clinical response and risk for reported suicidal ideation and suicide attempts in randomized placebo-controlled trials. Journal of the American Medical Association, 297(15), 1683-1696.
- Inference for diffusion processes and point processes
- Multivariate mixture models
- Applications to psychiatry and neuroscience
- Meta-analysis.
