Faming Liang – författare
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7 produkter
Sparse Graphical Modeling for High Dimensional Data
A Paradigm of Conditional Independence Tests
Inbunden, 2023
1517 kr
Lägg i varukorg
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 …
Sparse Graphical Modeling for High Dimensional Data
A Paradigm of Conditional Independence Tests
E-bok, 2023
1000 kr
Lägg i varukorg
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 …
Sparse Graphical Modeling for High Dimensional Data
A Paradigm of Conditional Independence Tests
E-bok, 2023
1022 kr
Lägg i varukorg
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 …
Advanced Markov Chain Monte Carlo Methods
Learning from Past Samples
Av Raymond Carroll, Chuanhai Liu m. fl.
E-bok, 2010
1562 kr
Lägg i varukorg
Markov Chain Monte Carlo (MCMC) methods are now an indispensable tool in scientific computing. This book discusses recent developments of MCMC methods with an emphasis on those making use of past sample information during simulations. The application examples are drawn from diverse fields such as …
Advanced Markov Chain Monte Carlo Methods
Learning from Past Samples
Av Faming Liang, Chuanhai Liu m. fl.
Inbunden, 2010
1369 kr
Lägg i varukorg
Markov Chain Monte Carlo (MCMC) methods are now an indispensable tool in scientific computing. This book discusses recent developments of MCMC methods with an emphasis on those making use of past sample information during simulations. The application examples are drawn from diverse fields such as …
Deep Learning and Statistics
Toward Automated Inference and Uncertainty-Aware AI
Av Faming Liang
Inbunden, 2026
1495 kr
Kommande
Deep Learning and Statistics: Toward Automated Inference and Uncertainty-Aware AI presents modern deep learning through a statistical lens, emphasizing theoretical foundations and methodologies for automated inference and uncertainty-aware AI. The book begins with foundational material on neural …
Advanced Markov Chain Monte Carlo Methods
Learning from Past Samples
Av Raymond Carroll, Chuanhai Liu m. fl.
E-bok, 2011
1597 kr
Lägg i varukorg
Markov Chain Monte Carlo (MCMC) methods are now an indispensable tool in scientific computing. This book discusses recent developments of MCMC methods with an emphasis on those making use of past sample information during simulations. The application examples are drawn from diverse fields such as …
