Aug. 27 Friday
8:00-8:45	Breakfast, onsite registration (Science Center First Floor)
8:45-9:00	Jun Liu Opening Remark
9:00-9:45	Don Rubin
9:45-10:30	Xiao-Li Meng Warp Bridge Sampling for Likelihood and Bayesian Computation
Break
	Parallel Sessions
	Session A (Science Center Hall A)	Session B (Science Center Hall D)
10:50-11:30	Hongyu Zhao Integrated Statistical Modeling of Gene Expression Data	S.C. Samuel Kou Equi-energy Sampler: From Statistical Inference to Statistical Mechanics
11:30-12:10	Jie Liang Simulating protein structures by sequenctial Monte Carlo	Rong Chen Variable Selection via Sequential Method
Lunch (Science Center First Floor)
1:30-2:10	Raoul LePage MC-Inverse	Mike West & Chris Hans Stochastic search and sparsity in high-dimensional regression and graphical models
2:10-2:50	Susan Holmes Random walks on treespace and extensions	Art B. Owen Quasi-Monte Carlo for Markov Chain Monte Carlo
2:50-3:30	Xiaodong Wang Estimating the Number of Competing Terminals in an IEEE 802.11 Wireless Network	David B. Dahl An Improved Merge-Split Sampler for Conjugate Dirichlet Process Mixture Models
Coffee Break
3:50-4:30	Chiara Sabatti Gene regulatory networks and blind deconvolution	Ming-Hui Chen Bayesian Inference and Computation for the Cox Regression Model with Missing Covariates
4:30-5:10	Fengzhu Sun An Integrated Approach for Protein Function Prediction	Patrick J. Wolfe Bayesian Variable Selection and Regularization for Audio Signal Analysis
6:00-7:00	H'ours Oeuvres (Terrace Room, Sheraton Commander Hotel)
6:00-9:00	Banquet (George Washington Ballroom, Sheraton Commander Hotel)
6:00-11:00	Poster session (Terrace Room, Sheraton Commander Hotel)

Aug. 28 Saturday
8:00-9:00	Breakfast (Science Center First Floor)
9:00-9:45	Persi Diaconis Symmetry Analysis of Markov Chains
Break
	Parallel Sessions
	Sesssion A (Science Center Hall A)	Session B (Science Center Hall D)
10:10-10:50	Ying-Nian Wu Generalizing Swendsen-Wang to arbitrary posterior probabilities	Yuguo Chen Conditional Inference on Tables with Structural Zeros
10:50-11:30	Nick Patterson High density admixture mapping to find genes for complex disease	Lu Tian Statistics Inference Based On Non-Smooth Estimating Functions
11:30-12:10	Radford M. Neal Improving Asymptotic Variance of MCMC Estimators: Non-reversible Chains are Better	David Madigan & Suhrid Balakrishnan A One-Pass Sequential Monte Carlo Method for Bayesian Analysis of Massive Datasets
Lunch (Science Center First Floor)
1:30-2:10	Siddhartha Chib Stochastic Volatility with Leverage: Fast Likelihood Inference	Christian Robert Population Monte Carlo
2:10-2:50	Faming Liang Contour Monte Carlo with Applications in Protein Structure Optimization	Antonietta Mira Variance Reduction in MCMC
2:50-3:30	Bret Larget Phylogeny from Genome Arrangements: A Bayesian Approach	Christophe Andrieu Online Parameter Estimation in General State Space Models
Coffee Break
3:50-4:30	Hulin Wu State-Space Models and Sequential Monte Carlo Methods with Applications to Biomedical Dynamic Systems	Bhaskara Marthi Decayed MCMC Filtering
4:30-5:10	Gaddy Getz Monte-Carlo based unsupervised and semi-supervised analyses of gene expression data	Arnaud Doucet Sequential Monte Carlo Samplers

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