Faculty Profile

		Mark Huber, Ph.D. Associate Professor E-mail: mhuber@cmc.edu Phone: (909) 607-0938 Campus Address: Adams Hall 211 Departments: Mathematics Web Site Curriculum Vitae
		Office Hours Monday 1:00 PM - 2:00 PM Tuesday 1:30 PM - 4:30 PM Friday 10:00 AM - 10:50 AM Current Course Schedule Math 151-1 MW- 2:45 PM - 4:00 PM  Dvd Math 151-2 MWF- 11:00 AM - 11:50 AM  RHS 104

Educational Background

B.S., Harvey Mudd College; Ph.D., Cornell University.

Teaching Interests

• Probability
• Statistics
• Numerical Methods

Research Interests

• Monte Carlo simulation and stochastic computation for statistical applications, approximation algorithms, and numerical integration.
• Primary emphasis is on the design and analysis of new perfect sampling methods that draw variates exactly from high-dimensional target distributions.

Selected Professional Activities

• Associate Editor Journal of the American Statistical Association Reviews
• Invited speaker, Department of Statistics, University of Aalborg, Aalborg, Denmark, May 25, 2009.
• Invited speaker, EPSRC Symposium Workshop on Markov Chain-Monte Carlo, Warwick, UK, Mar. 17, 2009.
• Invited speaker, Computational Algebraic Statistics: Theories and Applications, Kyoto, Japan, Dec 10, 2008.

Selected Research and Publications

• 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. 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. L. Huber, Fast perfect sampling from linear extensions, Discrete Mathematics, vol. 306 (2006), pp. 420–428.
• M. Huber, Perfect sampling using bounding chains, The Annals of Applied Probability, vol. 14 no. 2 (August, 2004), pp. 734–753.

Selected Awards

• NSF Postdoctoral Fellow in Mathematical Sciences NSF CAREER award