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Research Colloquium Wednesday, October 5, 2005"Efficient Markov chain Monte Carlo methods for dynamic data integration"Prof. Yalchin EfendievDepartment of Mathematics, Texas A&M University Approaches employed in inverse problems related to subsurface characterization often have stochastic nature due to intrinsic uncertainties. In this talk, I will describe the use of Markov chain Monte Carlo (MCMC) methods for solving these inverse problems. I will give a brief overview of MCMC and discuss the advantages and disadvantages of MCMC methods. Then I will talk about our recent work which is designed to improve the standard MCMC methods.
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