2010

Proceedings of COMPSTAT'2010

19th International Conference on Computational StatisticsParis France, August 22-27, 2010 Keynote, Invited and Contributed Papers

Editors:

ISBN: 978-3-7908-2603-6 (Print) 978-3-7908-2604-3 (Online)

Table of contents (63 chapters)

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  1. Front Matter

    Pages i-xxx

  2. Keynote

    1. Front Matter

      Pages 1-1

    2. No Access

      Book Chapter

      Pages 3-18

      Complexity Questions in Non-Uniform Random Variate Generation

    3. No Access

      Book Chapter

      Pages 19-32

      Computational Statistics Solutions for Molecular Biomedical Research: A Challenge and Chance for Both

    4. No Access

      Book Chapter

      Pages 33-43

      The Laws of Coincidence

  3. ABC Methods for Genetic Data

    1. Front Matter

      Pages 45-45

    2. No Access

      Book Chapter

      Pages 47-56

      Choosing the Summary Statistics and the Acceptance Rate in Approximate Bayesian Computation

    3. No Access

      Book Chapter

      Pages 57-66

      Integrating Approximate Bayesian Computation with Complex Agent-Based Models for Cancer Research

  4. Algorithms for Robust Statistics

    1. Front Matter

      Pages 67-67

    2. No Access

      Book Chapter

      Pages 69-78

      Robust Model Selection with LARS Based on S-estimators

    3. No Access

      Book Chapter

      Pages 79-88

      Robust Methods for Compositional Data

    4. No Access

      Book Chapter

      Pages 89-98

      Detecting Multivariate Outliers Using Projection Pursuit with Particle Swarm Optimization

  5. Brain Imaging

    1. Front Matter

      Pages 99-99

    2. No Access

      Book Chapter

      Pages 101-110

      Imaging Genetics: Bio-Informatics and Bio-Statistics Challenges

    3. No Access

      Book Chapter

      Pages 111-120

      The NPAIRS Computational Statistics Framework for Data Analysis in Neuroimaging

  6. Computational Econometrics

    1. Front Matter

      Pages 121-121

    2. No Access

      Book Chapter

      Pages 123-131

      Bootstrap Prediction in Unobserved Component Models

  7. Computer-Intensive Actuarial Methods

    1. Front Matter

      Pages 133-133

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      Book Chapter

      Pages 135-144

      A Numerical Approach to Ruin Models with Excess of Loss Reinsurance and Reinstatements *

    3. No Access

      Book Chapter

      Pages 145-154

      Computation of the Aggregate Claim Amount Distribution Using R and Actuar

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      Book Chapter

      Pages 155-164

      Applications of Multilevel Structured Additive Regression Models to Insurance Data

  8. Data Stream Mining

    1. Front Matter

      Pages 165-165

    2. No Access

      Book Chapter

      Pages 167-176

      Temporally-Adaptive Linear Classification for Handling Population Drift in Credit Scoring

    3. No Access

      Book Chapter

      Pages 177-186

      Large-Scale Machine Learning with Stochastic Gradient Descent

  9. Functional Data Analysis

    1. Front Matter

      Pages 187-187

    2. No Access

      Book Chapter

      Pages 189-198

      Anticipated and Adaptive Prediction in Functional Discriminant Analysis

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      Book Chapter

      Pages 199-207

      Bootstrap Calibration in Functional Linear Regression Models with Applications

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      Book Chapter

      Pages 209-218

      Empirical Dynamics and Functional Data Analysis

  10. Kernel Methods

    1. Front Matter

      Pages 219-219

    2. No Access

      Book Chapter

      Pages 221-230

      Indefinite Kernel Discriminant Analysis

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