Keynote -- Nonparametric Methods for Estimating Periodic Functions, with Applications in Astronomy -- Advances on Statistical Computing Environments -- Back to the Future: Lisp as a Base for a Statistical Computing System -- Computable Statistical Research and Practice -- Implicit and Explicit Parallel Computing in R -- Classification and Clustering of Complex Data -- Probabilistic Modeling for Symbolic Data -- Monothetic Divisive Clustering with Geographical Constraints -- Comparing Histogram Data Using a Mahalanobis–Wasserstein Distance -- Computation for Graphical Models and Bayes Nets -- Iterative Conditional Fitting for Discrete Chain Graph Models -- Graphical Models for Sparse Data: Graphical Gaussian Models with Vertex and Edge Symmetries -- Parameterization and Fitting of a Class of Discrete Graphical Models -- Computational Econometrics -- Exploring the Bootstrap Discrepancy -- On Diagnostic Checking Time Series Models with Portmanteau Test Statistics Based on Generalized Inverses and -- New Developments in Latent Variable Models: Non-linear and Dynamic Models -- Computational Statistics and Data Mining Methods for Alcohol Studies -- Estimating Spatiotemporal Effects for Ecological Alcohol Systems -- A Directed Graph Model of Ecological Alcohol Systems Incorporating Spatiotemporal Effects -- Spatial and Computational Models of Alcohol Use and Problems -- Finance and Insurance -- Optimal Investment for an Insurer with Multiple Risky Assets Under Mean-Variance Criterion -- Inhomogeneous Jump-GARCH Models with Applications in Financial Time Series Analysis -- The Classical Risk Model with Constant Interest and Threshold Strategy -- Estimation of Structural Parameters in Crossed Classification Credibility Model Using Linear Mixed Models -- Information Retrieval for Text and Images -- A Hybrid Approach for Taxonomy Learning from Text -- Image and Image-Set Modeling Using a Mixture Model -- Strategies in Identifying Issues Addressed in Legal Reports -- Knowledge Extraction by Models -- Sequential Automatic Search of a Subset of Classifiers in Multiclass Learning -- Possibilistic PLS Path Modeling: A New Approach to the Multigroup Comparison -- Models for Understanding Versus Models for Prediction -- Posterior Prediction Modelling of Optimal Trees -- Model Selection Algorithms -- Selecting Models Focussing on the Modeller’s Purpose -- A Regression Subset-Selection Strategy for Fat-Structure Data -- Fast Robust Variable Selection -- Models for Latent Class Detection -- Latent Classes of Objects and Variable Selection -- Modelling Background Noise in Finite Mixtures of Generalized Linear Regression Models -- Clustering via Mixture Regression Models with Random Effects -- Multiple Testing Procedures -- Testing Effects in ANOVA Experiments: Direct Combination of All Pair-Wise Comparisons Using Constrained Synchronized Permutations -- Multiple Comparison Procedures in Linear Models -- Inference for the Top-k Rank List Problem -- Random Search Algorithms -- Monitoring Random Start Forward Searches for Multivariate Data -- Generalized Differential Evolution for General Non-Linear Optimization -- Statistical Properties of Differential Evolution and Related Random Search Algorithms -- Robust Statistics -- Robust Estimation of the Vector Autoregressive Model by a Least Trimmed Squares Procedure -- The Choice of the Initial Estimate for Computing MM-Estimates -- Metropolis Versus Simulated Annealing and the Black-Box-Complexity of Optimization Problems -- Signal Extraction and Filtering -- Filters for Short Nonstationary Sequences: The Analysis of the Business Cycle -- Estimation of Common Factors Under Cross-Sectional and Temporal Aggregation Constraints: Nowcasting Monthly GDP and Its Main Components.