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Advances in Complex Data Modeling and Computational Methods in Statistics

  • Book
  • © 2015

Overview

Editors:
  1. Anna Maria Paganoni

    1. Dipartimento di Matematica, Politecnico di Milano, Milano, Italy

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  2. Piercesare Secchi

    1. Dipartimento di Matematica, Politecnico di Milano, Milano, Italy

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    You can also search for this editor in PubMed   Google Scholar

  • Offers numerous step-by-step tutorials to help the reader to learn quickly
  • A special chapter on next generation Flash prepares readers for the future
  • Includes suggestions on how to protect flash sites from hackers

Part of the book series: Contributions to Statistics (CONTRIB.STAT.)

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-viii
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  2. Inferring Networks from High-Dimensional Data with Mixed Variables

    • Antonino Abbruzzo, Angelo M. Mineo
    Pages 1-15

  3. Rounding Non-integer Weights in Bootstrapping Non-iid Samples: Actual Problem or Harmless Practice?

    • Federico Andreis, Fulvia Mecatti
    Pages 17-35

  4. Measuring Downsize Reputational Risk in the Oil & Gas Industry

    • Marika Arena, Giovanni Azzone, Antonio Conte, Piercesare Secchi, Simone Vantini
    Pages 37-51

  5. BarCamp: Technology Foresight and Statistics for the Future

    • Laura Azzimonti, Marzia A. Cremona, Andrea Ghiglietti, Francesca Ieva, Alessandra Menafoglio, Alessia Pini et al.
    Pages 53-67

  6. Using Statistics to Shed Light on the Dynamics of the Human Genome: A Review

    • Francesca Chiaromonte, Kateryna D. Makova
    Pages 69-85

  7. Information Theory and Bayesian Reliability Analysis: Recent Advances

    • Nader Ebrahimi, Ehsan S. Soofi, Refik Soyer
    Pages 87-102

  8. (Semi-)Intrinsic Statistical Analysis on Non-Euclidean Spaces

    • Stephan F. Huckemann
    Pages 103-118

  9. An Investigation of Projective Shape Space

    • John T. Kent
    Pages 119-131

  10. Treelet Decomposition of Mobile Phone Data for Deriving City Usage and Mobility Pattern in the Milan Urban Region

    • Fabio Manfredini, Paola Pucci, Piercesare Secchi, Paolo Tagliolato, Simone Vantini, Valeria Vitelli
    Pages 133-147

  11. Methodological Issues in the Use of Administrative Databases to Study Heart Failure

    • Cristina Mazzali, Mauro Maistriello, Francesca Ieva, Pietro Barbieri
    Pages 149-160

  12. Bayesian Inference for Randomized Experiments with Noncompliance and Nonignorable Missing Data

    • Andrea Mercatanti
    Pages 161-172

  13. Approximate Bayesian Quantile Regression for Panel Data

    • Antonio Pulcini, Brunero Liseo
    Pages 173-189

  14. Estimating Surfaces and Spatial Fields via Regression Models with Differential Regularization

    • Laura M. Sangalli
    Pages 191-209
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Keywords

About this book

The book is addressed to statisticians working at the forefront of the statistical analysis of complex and high dimensional data and offers a wide variety of statistical models, computer intensive methods and applications: network inference from the analysis of high dimensional data; new developments for bootstrapping complex data; regression analysis for measuring the downsize reputational risk; statistical methods for research on the human genome dynamics; inference in non-euclidean settings and for shape data; Bayesian methods for reliability and the analysis of complex data; methodological issues in using administrative data for clinical and epidemiological research; regression models with differential regularization; geostatistical methods for mobility analysis through mobile phone data exploration. This volume is the result of a careful selection among the contributions presented at the conference "S.Co.2013: Complex data modeling and computationally intensive methods for estimation and prediction" held at the Politecnico di Milano, 2013. All the papers published here have been rigorously peer-reviewed.

Editors and Affiliations

  • Dipartimento di Matematica, Politecnico di Milano, Milano, Italy

    Anna Maria Paganoni, Piercesare Secchi

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