COMPSTAT : Proceedings in Computational Statistics : 18th Symposium Held in Porto, Portugal, 2008

The 18th Conference of IASC-ERS, COMPSTAT 2008,is held in Porto,P- tugal,fromAugust24thtoAugust29th2008,locallyorganisedbytheFaculty of Economics of the University of Porto. COMPSTAT is an initiative of the European Regional Section of the Int- national Association for Statistical Computing (IASC-ER...

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Détails bibliographiques
Collectivité auteur: Conference of the European Regional Section of the International Association for Statistical Computing (Auteur)
Autres auteurs: Brito, Paula (Directeur de la publication)
Format: Livre numérique
Langue:Anglais
Publié: Heidelberg : Physica-Verlag HD [20..].
Cham : Springer Nature
Édition:1st ed. 2008.
Sujets:
Accès en ligne:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Note: L'impression du document génère 558 p.
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Autres localisations: Voir dans le Sudoc
Variante du titre:18th Symposium Held in Porto, Portugal, 2008
Edition sous un autre format:• COMPSTAT 2008, Texte imprimé, 9783790820836
Table des matières:
  • 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