Donald Geman

Biography

Geman was born in Chicago in 1943. He graduated from the University of Illinois Urbana-Champaign in 1965 with a B.A. degree in English Literature and from Northwestern University in 1970 with a Ph.D. in mathematics. His dissertation was entitled as "Horizontal-window conditioning and the zeros of stationary processes." He joined University of Massachusetts - Amherst in 1970, where he retired as a distinguished professor in 2001. Thereafter, he became a professor at the Department of Applied Mathematics at Johns Hopkins University. He has also been a visiting professor at the École Normale Supérieure de Cachan since 2001. He is a member of the National Academy of Sciences, and Fellow of the Institute of Mathematical Statistics and the Society for Industrial and Applied Mathematics.

Work

D. Geman and J. Horowitz published a series of papers during the late 1970s on local times and occupation densities of stochastic processes. A survey of this work and other related problems can be found in the Annals of Probability.{{Cite journal | doi-access = free

References

References

1. Google Scholar: [https://scholar.google.com/scholar?cites=12922359299324378570&as_sdt=20000005&sciodt=0,21&hl=en Stochastic Relaxation, Gibbs Distributions and the Bayesian Restoration].
2. (18 May 2015). "Donald Geman elected to NAS".
3. link. (2007-05-19)
4. Y. Amit and D. Geman, "Randomized inquiries about shape; an application to handwritten digit recognition," Technical Report 401, Department of Statistics, University of Chicago, IL, 1994.
5. Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning Found. Trends. Comput. Graph. Vis., Vol. 7, Nos. 2–3 (2011) 81–227. (February 2012), pp. 81-227,doi:10.1561/0600000035 by Antonio Criminisi, Jamie Shotton and Ender Konukoglu.
6. Decision Forests for Computer Vision and Medical Image Analysis. Editors: A. Criminisi, J. Shotton. Springer, 2013. {{ISBN. 978-1-4471-4928-6 (Print) 978-1-4471-4929-3 ([[Online]]).