Advances in Complex Data Modeling and Computational Methods in Statistics

✍ Scribed by Anna Maria Paganoni, Piercesare Secchi (eds.)

• Publisher: Springer International Publishing
• Year: 2015
• Tongue: English
• Leaves: 210
• Series: Contributions to Statistics
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-viii
Inferring Networks from High-Dimensional Data with Mixed Variables....Pages 1-15
Rounding Non-integer Weights in Bootstrapping Non-iid Samples: Actual Problem or Harmless Practice?....Pages 17-35
Measuring Downsize Reputational Risk in the Oil & Gas Industry....Pages 37-51
BarCamp: Technology Foresight and Statistics for the Future....Pages 53-67
Using Statistics to Shed Light on the Dynamics of the Human Genome: A Review....Pages 69-85
Information Theory and Bayesian Reliability Analysis: Recent Advances....Pages 87-102
(Semi-)Intrinsic Statistical Analysis on Non-Euclidean Spaces....Pages 103-118
An Investigation of Projective Shape Space....Pages 119-131
Treelet Decomposition of Mobile Phone Data for Deriving City Usage and Mobility Pattern in the Milan Urban Region....Pages 133-147
Methodological Issues in the Use of Administrative Databases to Study Heart Failure....Pages 149-160
Bayesian Inference for Randomized Experiments with Noncompliance and Nonignorable Missing Data....Pages 161-172
Approximate Bayesian Quantile Regression for Panel Data....Pages 173-189
Estimating Surfaces and Spatial Fields via Regression Models with Differential Regularization....Pages 191-209

✦ Subjects

Statistical Theory and Methods; Applications of Mathematics; Biostatistics; Complexity; Software Engineering/Programming and Operating Systems