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COMPSTAT 2008

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Cover of 'COMPSTAT 2008'

Table of Contents

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    Book Overview
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    Chapter 1 Nonparametric Methods for Estimating Periodic Functions, with Applications in Astronomy
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    Chapter 2 Back to the Future: Lisp as a Base for a Statistical Computing System
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    Chapter 3 Computable Statistical Research and Practice
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    Chapter 4 Implicit and Explicit Parallel Computing in R
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    Chapter 5 Probabilistic Modeling for Symbolic Data
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    Chapter 6 Monothetic Divisive Clustering with Geographical Constraints
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    Chapter 7 Comparing Histogram Data Using a Mahalanobis–Wasserstein Distance
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    Chapter 8 Iterative Conditional Fitting for Discrete Chain Graph Models
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    Chapter 9 Graphical Models for Sparse Data: Graphical Gaussian Models with Vertex and Edge Symmetries
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    Chapter 10 Parameterization and Fitting of a Class of Discrete Graphical Models
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    Chapter 11 Exploring the Bootstrap Discrepancy
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    Chapter 12 On Diagnostic Checking Time Series Models with Portmanteau Test Statistics Based on Generalized Inverses and
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    Chapter 13 New Developments in Latent Variable Models: Non-linear and Dynamic Models
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    Chapter 14 Estimating Spatiotemporal Effects for Ecological Alcohol Systems
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    Chapter 15 A Directed Graph Model of Ecological Alcohol Systems Incorporating Spatiotemporal Effects
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    Chapter 16 Spatial and Computational Models of Alcohol Use and Problems
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    Chapter 17 Optimal Investment for an Insurer with Multiple Risky Assets Under Mean-Variance Criterion
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    Chapter 18 Inhomogeneous Jump-GARCH Models with Applications in Financial Time Series Analysis
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    Chapter 19 The Classical Risk Model with Constant Interest and Threshold Strategy
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    Chapter 20 Estimation of Structural Parameters in Crossed Classification Credibility Model Using Linear Mixed Models
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    Chapter 21 A Hybrid Approach for Taxonomy Learning from Text
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    Chapter 22 Image and Image-Set Modeling Using a Mixture Model
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    Chapter 23 Strategies in Identifying Issues Addressed in Legal Reports
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    Chapter 24 Sequential Automatic Search of a Subset of Classifiers in Multiclass Learning
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    Chapter 25 Possibilistic PLS Path Modeling: A New Approach to the Multigroup Comparison
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    Chapter 26 Models for Understanding Versus Models for Prediction
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    Chapter 27 Posterior Prediction Modelling of Optimal Trees
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    Chapter 28 Selecting Models Focussing on the Modeller’s Purpose
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    Chapter 29 A Regression Subset-Selection Strategy for Fat-Structure Data
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    Chapter 30 Fast Robust Variable Selection
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    Chapter 31 Latent Classes of Objects and Variable Selection
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    Chapter 32 Modelling Background Noise in Finite Mixtures of Generalized Linear Regression Models
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    Chapter 33 COMPSTAT 2008
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    Chapter 34 Testing Effects in ANOVA Experiments: Direct Combination of All Pair-Wise Comparisons Using Constrained Synchronized Permutations
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    Chapter 35 Multiple Comparison Procedures in Linear Models
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    Chapter 36 Inference for the Top- k Rank List Problem
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    Chapter 37 Monitoring Random Start Forward Searches for Multivariate Data
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    Chapter 38 Generalized Differential Evolution for General Non-Linear Optimization
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    Chapter 39 Statistical Properties of Differential Evolution and Related Random Search Algorithms
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    Chapter 40 Robust Estimation of the Vector Autoregressive Model by a Least Trimmed Squares Procedure
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    Chapter 41 The Choice of the Initial Estimate for Computing MM-Estimates
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    Chapter 42 Metropolis Versus Simulated Annealing and the Black-Box-Complexity of Optimization Problems
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    Chapter 43 Filters for Short Nonstationary Sequences: The Analysis of the Business Cycle
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    Chapter 44 Estimation of Common Factors Under Cross-Sectional and Temporal Aggregation Constraints: Nowcasting Monthly GDP and Its Main Components
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Title
COMPSTAT 2008
Published by
Physica-Verlag HD, August 2008
DOI 10.1007/978-3-7908-2084-3
ISBNs
978-3-79-082083-6, 978-3-79-082084-3
Editors

Brito, Paula

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 26%
Student > Ph. D. Student 4 21%
Professor > Associate Professor 2 11%
Professor 1 5%
Student > Bachelor 1 5%
Other 5 26%
Unknown 1 5%
Readers by discipline Count As %
Engineering 5 26%
Agricultural and Biological Sciences 3 16%
Economics, Econometrics and Finance 3 16%
Mathematics 2 11%
Computer Science 1 5%
Other 4 21%
Unknown 1 5%