Michael Stein

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Ralph and Mary Otis Isham Professor, Department of Statistics

College Master, Physical Sciences Collegiate Division

University of Chicago

Areas of Expertise:

  • Spatial-temporal processes
  • Statistical approaches to processing large environmental data

Stein graduated from MIT in 1980 with a B.S. in mathematics and received his M.S. and Ph.D. in statistics from Stanford in 1982 and 1984. After spending a year at the IBM T.J. Watson Research Center, he joined the faculty at the University of Chicago, where he is now the Ralph and Mary Otis Isham Professor of Statistics. He was chairman of the department from 1998 to 2001.

Most of Stein's research has been in the area of spatial statistics and its applications to environmental sciences and astrophysics. He was the director of CISES (Center for Integrating Statistical and Environmental Science), funded by the Environmental Protection Agency.

Updates to my profile:

Research Projects

Climate variability | Climate emulation | Climate model fidelity | Climate variability: statistics and observation based simulations| Precipitation characteristics: Present and future | Climate extremes | Temperature quantiles

Students and Postdoctoral Scholars

Chen Chen | Matz Haugen
 

Former Students and Postdoctoral Scholars

Bill Leeds | Stefano Castruccio | Feifei Crouch | Grant Wilder | Won Chang | Whitney Huang | Jingyu Bao | Andrew Poppick | Mark He | Aidan Sadowski

Publications (RDCEP-1)
W. K. Huang, et al. Estimating changes in temperature extremes from millennial scale climate simulations using generalized extreme value (gev) distributions. 2016.
Richard Katz et al. "Uncertainty analysis in climate change assessments." Nature Climate Change 3, no. 9 (2013): 769-771.
W. B. Leeds, E. J. Moyer, and M. L. Stein. Simulation of future climate under changing temporal covariance structures. Advances in Statistical Climatology Meteorology and Oceanography, 1(1):1–14, 2015
Andrew Poppick, et al. Temperatures in transient climates: improved methods for simulations with evolving temporal covariances. arXiv preprint arXiv:1507.00683, 2015.
M. L. Stein. Should annual maximum temperatures follow a gev distribution? Submitted to Biometrika, 2016.
Shanshan Sun, Scott Collis, Beth Drewniak, David Cook, Michael Stein, and Elizabeth Moyer. Soil moisture dynamics in observation and models in southern great plains. in preparation, 2016.
Ying Sun and Michael L Stein. A stochastic space-time model for intermittent precipitation occurrences. Annals of Applied Statistics, 2015.
J. Bao, D. McInerney, and M. L. Stein. A spatial dependent model for climate emulation. Revision submitted to Environmetrics., 2016.
Stefano Castruccio et al. "Statistical Emulation of Climate Model Projections Based on Precomputed GCM Runs*." Journal of Climate 27, no. 5 (2014): 1829-1844.
Castruccio, Stefano, and Michael L. Stein. "Global space-time models for climate ensembles." The Annals of Applied Statistics 7, no. 3 (2013): 1593-1611.
Won Chang, et al. Changes in spatio- temporal precipitation patterns in changing climate conditions. arXiv preprint arXiv:1601.01147, 2016.