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Sparse Graphical Modeling for High Dimensional Data

1.061 kr.

1.061 kr.

På lager

Fre., 4 juli - tors., 10 juli


Sikker betaling

14 dages åbent køb


Sælges og leveres af

Adlibris

Produktbeskrivelse

This book provides a general framework for learning sparse graphical models with conditional independence tests. It includes complete treatments for Gaussian, Poisson, multinomial, and mixed data; unified treatments for covariate adjustments, data integration, and network comparison; unified treatments for missing data and heterogeneous data; efficient methods for joint estimation of multiple graphical models; effective methods of high-dimensional variable selection; and effective methods of high-dimensional inference. The methods possess an embarrassingly parallel structure in performing conditional independence tests, and the computation can be significantly accelerated by running in parallel on a multi-core computer or a parallel architecture. This book is intended to serve researchers and scientists interested in high-dimensional statistics, and graduate students in broad data science disciplines.

Key Features:

  • A general framework for learning sparse graphical models with conditional independence tests
  • Complete treatments for different types of data, Gaussian, Poisson, multinomial, and mixed data
  • Unified treatments for data integration, network comparison, and covariate adjustment
  • Unified treatments for missing data and heterogeneous data
  • Efficient methods for joint estimation of multiple graphical models
  • Effective methods of high-dimensional variable selection
  • Effective methods of high-dimensional inference

Varenr.

030e284e-addd-46e3-a7b7-3475a7befc3c

Sparse Graphical Modeling for High Dimensional Data

1.061 kr.

1.061 kr.

På lager

Fre., 4 juli - tors., 10 juli


Sikker betaling

14 dages åbent køb


Sælges og leveres af

Adlibris