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Proceedings of COMPSTAT'2010

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Cover of 'Proceedings of COMPSTAT'2010'

Table of Contents

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    Book Overview
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    Chapter 1 Complexity Questions in Non-Uniform Random Variate Generation
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    Chapter 2 Computational Statistics Solutions for Molecular Biomedical Research: A Challenge and Chance for Both
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    Chapter 3 The Laws of Coincidence
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    Chapter 4 Choosing the Summary Statistics and the Acceptance Rate in Approximate Bayesian Computation
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    Chapter 5 Integrating Approximate Bayesian Computation with Complex Agent-Based Models for Cancer Research
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    Chapter 6 Robust Model Selection with LARS Based on S-estimators
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    Chapter 7 Robust Methods for Compositional Data
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    Chapter 8 Detecting Multivariate Outliers Using Projection Pursuit with Particle Swarm Optimization
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    Chapter 9 Imaging Genetics: Bio-Informatics and Bio-Statistics Challenges
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    Chapter 10 The NPAIRS Computational Statistics Framework for Data Analysis in Neuroimaging
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    Chapter 11 Bootstrap Prediction in Unobserved Component Models
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    Chapter 12 A Numerical Approach to Ruin Models with Excess of Loss Reinsurance and Reinstatements *
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    Chapter 13 Computation of the Aggregate Claim Amount Distribution Using R and Actuar
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    Chapter 14 Applications of Multilevel Structured Additive Regression Models to Insurance Data
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    Chapter 15 Temporally-Adaptive Linear Classification for Handling Population Drift in Credit Scoring
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    Chapter 16 Large-Scale Machine Learning with Stochastic Gradient Descent
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    Chapter 17 Anticipated and Adaptive Prediction in Functional Discriminant Analysis
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    Chapter 18 Bootstrap Calibration in Functional Linear Regression Models with Applications
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    Chapter 19 Empirical Dynamics and Functional Data Analysis
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    Chapter 20 Indefinite Kernel Discriminant Analysis
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    Chapter 21 Data Dependent Priors in PAC-Bayes Bounds
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    Chapter 22 Some Algorithms to Fit some Reliability Mixture Models under Censoring
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    Chapter 23 Computational and Monte-Carlo Aspects of Systems for Monitoring Reliability Data
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    Chapter 24 Evolutionary Computation for Modelling and Optimization in Finance
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    Chapter 25 Examining the Association between Deprivation Profiles and Air Pollution in Greater London using Bayesian Dirichlet Process Mixture Models
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    Chapter 26 Assessing the Association between Environmental Exposures and Human Health
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    Chapter 27 Semiparametric Seasonal Cointegrating Rank Selection
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    Chapter 28 Estimating Factor Models for Multivariate Volatilities: An Innovation Expansion Method
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    Chapter 29 Multivariate Stochastic Volatility Model with Cross Leverage
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    Chapter 30 Bag of Pursuits and Neural Gas for Improved Sparse Coding
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    Chapter 31 On the Role and Impact of the Metaparameters in t-distributed Stochastic Neighbor Embedding
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    Chapter 32 Multiple Nested Reductions of Single Data Modes as a Tool to Deal with Large Data Sets
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    Chapter 33 The Generic Subspace Clustering Model
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    Chapter 34 Clustering Discrete Choice Data
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    Chapter 35 Application of Local Influence Diagnostics to the Buckley-James Model
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    Chapter 36 Multiblock Method for Categorical Variables. Application to the Study of Antibiotic Resistance
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    Chapter 37 A Flexible IRT Model for Health Questionnaire: an Application to HRQoL
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    Chapter 38 Multidimensional Exploratory Analysis of a Structural Model Using a Class of Generalized Covariance Criteria
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    Chapter 39 Semiparametric Models with Functional Responses in a Model Assisted Survey Sampling Setting : Model Assisted Estimation of Electricity Consumption Curves
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    Chapter 40 Stochastic Approximation for Multivariate and Functional Median
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    Chapter 41 A Markov Switching Re-evaluation of Event-Study Methodology
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    Chapter 42 Evaluation of DNA Mixtures Accounting for Sampling Variability
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    Chapter 43 Monotone Graphical Multivariate Markov Chains
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    Chapter 44 Using Observed Functional Data to Simulate a Stochastic Process via a Random Multiplicative Cascade Model
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    Chapter 45 A Clusterwise Center and Range Regression Model for Interval-Valued Data
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    Chapter 46 Contributions to Bayesian Structural Equation Modeling
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    Chapter 47 Some Examples of Statistical Computing in France During the 19th Century
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    Chapter 48 Imputation by Gaussian Copula Model with an Application to Incomplete Customer Satisfaction Data
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    Chapter 49 On Multiple-Case Diagnostics in Linear Subspace Method
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    Chapter 50 Fourier Methods for Sequential Change Point Analysis in Autoregressive Models
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    Chapter 51 Computational Treatment of the Error Distribution in Nonparametric Regression with Right-Censored and Selection-Biased Data
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    Chapter 52 Mixtures of Weighted Distance-Based Models for Ranking Data
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    Chapter 53 Fourier Analysis and Swarm Intelligence for Stochastic Optimization of Discrete Functions
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    Chapter 54 Global Hypothesis Test to Simultaneously Compare the Predictive Values of Two Binary Diagnostic Tests in Paired Designs: a Simulation Study
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    Chapter 55 Modeling Operational Risk: Estimation and Effects of Dependencies
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    Chapter 56 Learning Hierarchical Bayesian Networks for Genome-Wide Association Studies
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    Chapter 57 Exact Posterior Distributions over the Segmentation Space and Model Selection for Multiple Change-Point Detection Problems
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    Chapter 58 Parcellation Schemes and Statistical Tests to Detect Active Regions on the Cortical Surface
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    Chapter 59 Robust Principal Component Analysis Based on Pairwise Correlation Estimators
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    Chapter 60 Ordinary Least Squares for Histogram Data Based on Wasserstein Distance
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    Chapter 61 DetMCD in a Calibration Framework
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    Chapter 62 Separable Two-Dimensional Linear Discriminant Analysis
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    Chapter 63 List of Supplementary Contributed and Invited Papers Only Available on springerlink.com
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Title
Proceedings of COMPSTAT'2010
Published by
Physica-Verlag HD, January 2010
DOI 10.1007/978-3-7908-2604-3
ISBNs
978-3-79-082603-6, 978-3-79-082604-3
Authors

Lechevallier, Yves, Saporta, Gilbert

Editors

Yves Lechevallier, Gilbert Saporta

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 201 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Austria 1 <1%
Brazil 1 <1%
Belgium 1 <1%
China 1 <1%
Spain 1 <1%
Unknown 195 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 20%
Student > Master 33 16%
Researcher 24 12%
Student > Bachelor 15 7%
Student > Doctoral Student 8 4%
Other 22 11%
Unknown 58 29%
Readers by discipline Count As %
Computer Science 42 21%
Engineering 36 18%
Mathematics 16 8%
Physics and Astronomy 7 3%
Economics, Econometrics and Finance 5 2%
Other 30 15%
Unknown 65 32%