Mark Huber, Ph.D.I work in the area of computational probability, designing Monte Carlo methods for applications in statistics and computer science.
Areas of Expertise
Applied Mathematics, Calculus, Computers, Probability, Statistics
Selected Research and Publications
M. Huber. Spatial point processes. In S. Brooks, A. Gelman, G. Jones, and X. Meng, editors, Handbook of MCMC, pages 227–252. Chapman & Hall/CRC Press, 2011.
M. Huber and J. Law, Fast approximation of the permanent for very dense problems, Proc. of Symposium on Discrete Algorithms (2008), pp. 681–689.
M. L. Huber, Fast perfect sampling from linear extensions, Discrete Mathematics, vol. 306 (2006), pp. 420–428.
M. Huber, Y. Chen, I. Dinwoodie, A. Dobra, and M. Nicholas, Monte Carlo algorithms for Hardy-Weinberg proportions, Biometrics, vol. 62 no. 1 (March, 2006), pp. 49–53.
M. Huber, Perfect sampling using bounding chains, The Annals of Applied Probability, vol. 14 no. 2 (August, 2004), pp. 734–753.
Selected Awards and Affiliations
- NSF CAREER award
- NSF Postdoctoral Fellow in Mathematical Sciences NSF CAREER award
Mark Huber, Ph.D.
Fletcher Jones Associate Professor of Mathematics and Statistics and George R. Roberts FellowEducation: B.S., Harvey Mudd College; Ph.D., Cornell University.Department(s): Mathematics & Computer ScienceOffice Hours: Monday, 01:00PM - 02:00PMTuesday, 01:30PM - 05:00PMFriday, 11:00AM - 12:00AMEmail: email@example.comPhone: (909) 607-0938Address: Adams Hall 217Website: Curriculum Vitae: CV_Mark_Huber.pdf
For more information, please contact the Claremont McKenna College Public Affairs Office at (909) 621-8099