Advances in Complex Data Modeling and Computational Methods in Statistics

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 development...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Paganoni, Anna Maria (Editor ), Secchi, Piercesare (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Contributions to Statistics
Temas:
Statistics .
Mathematics.
Biometry.
Dynamics.
Nonlinear theories.
Software engineering.
Statistical Theory and Methods.
Applications of Mathematics.
Biostatistics.
Applied Dynamical Systems.
Software Engineering.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 1 Antonino Abbruzzo, Angelo M. Mineo: Inferring networks from high-dimensional data with mixed variables
  • 2 Federico Andreis, Fulvia Mecatti: Rounding Non-integer Weights in Bootstrapping Non-iid Samples: actual problem or harmless practice?
  • 3 Marika Arena, Giovanni Azzone, Antonio Conte, Piercesare Secchi, Simone Vantini: Measuring downsize reputational risk in the Oil & Gas industry
  • 4 Laura Azzimonti, Marzia A. Cremona, Andrea Ghiglietti, Francesca Ieva, Alessandra Menafoglio, Alessia Pini, Paolo Zanini: BARCAMP Technology Foresight and Statistics for the Future
  • 5 Francesca Chiaromonte, Kateryna D. Makova: Using statistics to shed light on the dynamics of the human genome: A review
  • 6 Nader Ebrahimi, Ehsan S. Soofi and Refik Soyer: Information Theory and Bayesian Reliability Analysis: Recent Advances
  • 7 Stephan F. Huckemann: (Semi-) Intrinsic Statistical Analysis on non-Euclidean Spaces
  • 8 John T. Kent: An investigation of projective shape space
  • 9 Fabio Manfredini, Paola Pucci, Piercesare Secchi, Paolo Tagliolato, Simone Vantini, Valeria Vitelli: Treelet Decomposition of Mobile Phone Data for Deriving City Usage and Mobility Pattern in the Milan Urban Region
  • 10 Cristina Mazzali, Mauro Maistriello, Francesca Ieva, Pietro Barbieri: Methodological issues in the use of administrative databases to study heart failure
  • 11 Andrea Mercatant: Bayesian inference for randomized experiments with noncompliance and nonignorable missing data
  • 12 Antonio Pulcini, Brunero Liseo: Approximate Bayesian Quantile Regression for Panel Data
  • 13 Laura M. Sangalli: Estimating surfaces and spatial fields via regression models with differential regularization.  .

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