Data Analysis, Classification and the Forward Search
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Data Analysis, Classification and the Forward Search
Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Parma, June 6-8, 2005
Zani, Sergio; Cerioli, Andrea; Vichi, Maurizio; Riani, Marco
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
08/2006
426
Mole
Inglês
9783540359777
15 a 20 dias
1350
Descrição não disponível.
Clustering and Discrimination.- Genetic Algorithms-based Approaches for Clustering Time Series.- On the Choice of the Kernel Function in Kernel Discriminant Analysis Using Information Complexity.- Growing Clustering Algorithms in Market Segmentation: Defining Target Groups and Related Marketing Communication.- Graphical Representation of Functional Clusters and MDS Configurations.- Estimation of the Structural Mean of a Sample of Curves by Dynamic Time Warping.- Sequential Decisional Discriminant Analysis.- Regularized Sliced Inverse Regression with Applications in Classification.- Multidimensional Data Analysis and Multivariate Statistics.- Approaches to Asymmetric Multidimensional Scaling with External Information.- Variable Architecture Bayesian Neural Networks: Model Selection Based on EMC.- Missing Data in Optimal Scaling.- Simple Component Analysis Based on RV Coefficient.- Baum-Eagon Inequality in Probabilistic Labeling Problems.- Monotone Constrained EM Algorithms for Multinormal Mixture Models.- Visualizing Dependence of Bootstrap Confidence Intervals for Methods Yielding Spatial Configurations.- Automatic Discount Selection for Exponential Family State-Space Models.- A Generalization of the Polychoric Correlation Coefficient.- The Effects of MEP Distributed Random Effects on Variance Component Estimation in Multilevel Models.- Calibration Confidence Regions Using Empirical Likelihood.- Robust Methods and the Forward Search.- Random Start Forward Searches with Envelopes for Detecting Clusters in Multivariate Data.- Robust Transformation of Proportions Using the Forward Search.- The Forward Search Method Applied to Geodetic Transformations.- An R Package for the Forward Analysis of Multivariate Data.- A Forward Search Method for Robust Generalised Procrustes Analysis.- A Projection Method for Robust Estimation and Clustering in Large Data Sets.- Robust Multivariate Calibration.- Data Mining Methods and Software.- Procrustes Techniques for Text Mining.- Building Recommendations from Random Walks on Library OPAC Usage Data.- A Software Tool via Web for the Statistical Data Analysis: R-php.- Evolutionary Algorithms for Classification and Regression Trees.- Variable Selection Using Random Forests.- Boosted Incremental Tree-based Imputation of Missing Data.- Sensitivity of Attributes on the Performance of Attribute-Aware Collaborative Filtering.- Multivariate Methods for Customer Satisfaction and Service Evaluation.- Customer Satisfaction Evaluation: An Approach Based on Simultaneous Diagonalization.- Analyzing Evaluation Data: Modelling and Testing for Homogeneity.- Archetypal Analysis for Data Driven Benchmarking.- Determinants of Secondary School Dropping Out: a Structural Equation Model.- Testing Procedures for Multilevel Models with Administrative Data.- Multidimensional Versus Unidimensional Models for Ability Testing.- Multivariate Methods in Applied Science.- A Spatial Mixed Model for Sectorial Labour Market Data.- The Impact of the New Labour Force Survey on the Employed Classification.- Using CATPCA to Evaluate Market Regulation.- Credit Risk Management Through Robust Generalized Linear Models.- Classification of Financial Returns According to Thresholds Exceedances.- Nonparametric Clustering of Seismic Events.- A Non-Homogeneous Poisson Based Model for Daily Rainfall Data.- A Comparison of Data Mining Methods and Logistic Regression to Determine Factors Associated with Death Following Injury.
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Generalized linear model;Multivariate statistics;Sage;Time series;algorithms;clustering;communication;complexity;data analysis;expectation-maximization algorithm;information;modeling;multidimensional scaling;service-oriented computing
Clustering and Discrimination.- Genetic Algorithms-based Approaches for Clustering Time Series.- On the Choice of the Kernel Function in Kernel Discriminant Analysis Using Information Complexity.- Growing Clustering Algorithms in Market Segmentation: Defining Target Groups and Related Marketing Communication.- Graphical Representation of Functional Clusters and MDS Configurations.- Estimation of the Structural Mean of a Sample of Curves by Dynamic Time Warping.- Sequential Decisional Discriminant Analysis.- Regularized Sliced Inverse Regression with Applications in Classification.- Multidimensional Data Analysis and Multivariate Statistics.- Approaches to Asymmetric Multidimensional Scaling with External Information.- Variable Architecture Bayesian Neural Networks: Model Selection Based on EMC.- Missing Data in Optimal Scaling.- Simple Component Analysis Based on RV Coefficient.- Baum-Eagon Inequality in Probabilistic Labeling Problems.- Monotone Constrained EM Algorithms for Multinormal Mixture Models.- Visualizing Dependence of Bootstrap Confidence Intervals for Methods Yielding Spatial Configurations.- Automatic Discount Selection for Exponential Family State-Space Models.- A Generalization of the Polychoric Correlation Coefficient.- The Effects of MEP Distributed Random Effects on Variance Component Estimation in Multilevel Models.- Calibration Confidence Regions Using Empirical Likelihood.- Robust Methods and the Forward Search.- Random Start Forward Searches with Envelopes for Detecting Clusters in Multivariate Data.- Robust Transformation of Proportions Using the Forward Search.- The Forward Search Method Applied to Geodetic Transformations.- An R Package for the Forward Analysis of Multivariate Data.- A Forward Search Method for Robust Generalised Procrustes Analysis.- A Projection Method for Robust Estimation and Clustering in Large Data Sets.- Robust Multivariate Calibration.- Data Mining Methods and Software.- Procrustes Techniques for Text Mining.- Building Recommendations from Random Walks on Library OPAC Usage Data.- A Software Tool via Web for the Statistical Data Analysis: R-php.- Evolutionary Algorithms for Classification and Regression Trees.- Variable Selection Using Random Forests.- Boosted Incremental Tree-based Imputation of Missing Data.- Sensitivity of Attributes on the Performance of Attribute-Aware Collaborative Filtering.- Multivariate Methods for Customer Satisfaction and Service Evaluation.- Customer Satisfaction Evaluation: An Approach Based on Simultaneous Diagonalization.- Analyzing Evaluation Data: Modelling and Testing for Homogeneity.- Archetypal Analysis for Data Driven Benchmarking.- Determinants of Secondary School Dropping Out: a Structural Equation Model.- Testing Procedures for Multilevel Models with Administrative Data.- Multidimensional Versus Unidimensional Models for Ability Testing.- Multivariate Methods in Applied Science.- A Spatial Mixed Model for Sectorial Labour Market Data.- The Impact of the New Labour Force Survey on the Employed Classification.- Using CATPCA to Evaluate Market Regulation.- Credit Risk Management Through Robust Generalized Linear Models.- Classification of Financial Returns According to Thresholds Exceedances.- Nonparametric Clustering of Seismic Events.- A Non-Homogeneous Poisson Based Model for Daily Rainfall Data.- A Comparison of Data Mining Methods and Logistic Regression to Determine Factors Associated with Death Following Injury.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
