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 ...
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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
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Add this copy of Sparse Graphical Modeling for High Dimensional Data: a to cart. £54.63, very good condition, Sold by ThriftBooks-Atlanta rated 4.0 out of 5 stars, ships from Austell, GA, UNITED STATES, published 2023 by CRC Press.
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New. Sewn binding. Cloth over boards. 130 p. Contains: Unspecified, Illustrations, black & white, Illustrations, color, Line drawings, black & white, Line drawings, color, Tables, black & white. Chapman & Hall/CRC Monographs on Statistics and Applied Prob.
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Fine. Sewn binding. Cloth over boards. 130 p. Contains: Unspecified, Illustrations, black & white, Illustrations, color, Line drawings, black & white, Line drawings, color, Tables, black & white. Chapman & Hall/CRC Monographs on Statistics and Applied Prob. Intended for professional and scholarly audience. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
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New. Sewn binding. Cloth over boards. 130 p. Contains: Unspecified, Illustrations, black & white, Illustrations, color, Line drawings, black & white, Line drawings, color, Tables, black & white. Chapman & Hall/CRC Monographs on Statistics and Applied Prob. Intended for professional and scholarly audience. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
