I Dirichlet and Related Processes -- 1 Computing Nonparametric Hierarchical Models -- 2 Computational Methods for Mixture of Dirichlet Process Models -- 3 Nonparametric Bayes Methods Using Predictive Updating -- 4 Dynamic Display of Changing Posterior in Bayesian Survival Analysis -- 5 Semiparametric Bayesian Methods for Random Effects Models -- 6 Nonparametric Bayesian Group Sequential Design -- II Modeling Random Functions -- 7 Wavelet-Based Nonparametric Bayes Methods -- 8 Nonparametric Estimation of Irregular Functions with Independent or Autocorrelated Errors -- 9 Feedforward Neural Networks for Nonparametric Regression -- III Levy and Related Processes -- 10 Survival Analysis Using Semiparametric Bayesian Methods -- 11 Bayesian Nonparametric and Covariate Analysis of Failure Time Data -- 12 Simulation of Lévy Random Fields -- 13 Sampling Methods for Bayesian Nonparametric Inference Involving Stochastic Processes -- 14 Curve and Surface Estimation Using Dynamic Step Functions -- IV Prior Elicitation and Asymptotic Properties 15 Prior Elicitation for Semiparametric Bayesian Survival Analysis -- 16 Asymptotic Properties of Nonparametric Bayesian Procedures -- 17 Modeling Travel Demand in Portland, Oregon -- 18 Semiparametric PK/PD Models -- 19 A Bayesian Model for Fatigue Crack Growth -- 20 A Semiparametric Model for Labor Earnings Dynamics.