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COMPSTAT 2008

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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
Attention for Chapter 10: Parameterization and Fitting of a Class of Discrete Graphical Models
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Chapter title
Parameterization and Fitting of a Class of Discrete Graphical Models
Chapter number 10
Book title
COMPSTAT 2008
Published by
Physica-Verlag HD, January 2008
DOI 10.1007/978-3-7908-2084-3_10
Book ISBNs
978-3-79-082083-6, 978-3-79-082084-3
Authors

Giovanni M. Marchetti, Monia Lupparelli, Marchetti, Giovanni M., Lupparelli, Monia

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Student > Ph. D. Student 1 25%
Professor > Associate Professor 1 25%
Lecturer 1 25%
Readers by discipline Count As %
Mathematics 2 50%
Arts and Humanities 1 25%
Agricultural and Biological Sciences 1 25%