Stuart A. Geman | |
|---|---|
 Geman lecturing on the Gibbs sampler | |
| Born | March 23, 1949 |
| Nationality | American |
| Alma mater | University of Michigan B.S. (1971) Dartmouth College M.S. (1973) Massachusetts Institute of Technology Ph.D. (1977) |
| Relatives | Donald Geman (brother) |
| Scientific career | |
| Fields | Mathematics |
| Institutions | Brown University |
| Thesis | Stochastic Differential Equations with Smooth Mixing Processes (1977) |
| Doctoral advisor | Herman Chernoff Frank Kozin |
| Doctoral students | Barry R. Davis |
| Website | www |
Stuart Alan Geman (born March 23, 1949) is an American mathematician, known for influential contributions to computer vision, statistics, probability theory, machine learning, and the neurosciences.[1][2][3][4] He and his brother, Donald Geman, are well known for proposing the Gibbs sampler, and for the first proof of convergence of the simulated annealing algorithm.[5][6]
- ^ Thomas P. Ryan & William H. Woodall (2005). "The Most-Cited Statistical Papers". Journal of Applied Statistics. 32 (5): 461–474. doi:10.1080/02664760500079373. S2CID 109615204.
- ^ S. Kotz & N.L. Johnson (1997). Breakthroughs in Statistics, Volume III. New York, NY: Springer Verlag.
- ^ [Wikipedia] List of important publications in computer science.
- ^ Sharon Bertsch Mcgrayne (2011). The theory that would not die. New York and London: Yale University Press.
- ^ S. Geman; D. Geman (1984). "Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images". IEEE Transactions on Pattern Analysis and Machine Intelligence. 6 (6): 721–741. doi:10.1109/TPAMI.1984.4767596. PMID 22499653. S2CID 5837272.
- ^ Google Scholar: Stochastic Relaxation, Gibbs Distributions and the Bayesian Restoration.