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Activity Details

401 Tue, 8/5/2014, 2:00 PM - 3:50 PM CC-101
Monte Carlo Methods — Contributed Papers
Section on Statistical Computing , Interface Foundation of North America
Chair(s): Joseph Rickert, Revolution Analytics   
2:05 PM A New Efficient MCMC Algorithm for Sampling Banana-Shaped Distributions Based on Coordinate Transformation Xiaodan Fan, Chinese University of Hong Kong
2:20 PM Efficient Estimation of the Convergence Rate of the Random-Scan Metropolis Algorithm David Spade, University of Missouri-Kansas City
2:35 PM Approximate Bayesian Computation for a Five-Parameter Bivariate Beta Model and Its Applications Roberto Crackel ; James Flegal, University of California, Riverside
2:50 PM Bayesian Network Structure Learning: A Sequential Monte Carlo Approach Kaixian Yu, Florida State University ; Jinfeng Zhang, Florida State University
3:05 PM On Single Variable Transformation Approach to Markov Chain Monte Carlo Kushal Dey ; Sourabh Bhattacharya, Indian Statistical Institute
3:20 PM Simulated Likelihood for Heteroscedastic Gaussian Mixture Models Monia Ranalli, University of Rome ; Bruce G. Lindsay, Penn State
3:35 PM A Characterization of Burr Type III and Type XII Distributions Through the Method of Percentiles Mohan Pant, University of Texas at Arlington ; Todd Christopher Headrick, Southern Illinois University at Carbondale

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