Faming Liang, Associate Professor, Department of Statistics, Texas A&M University.
Chuanhai Liu, Professor, Department of Statistics, Purdue University.
Raymond J. Carroll, Distinguished Professor, Department of Statistics, Texas A&M University.
5 Ebooks tarafından Faming Liang
Faming Liang & Chuanhai Liu: Advanced Markov Chain Monte Carlo Methods
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 …
PDF
İngilizce
DRM
€96.99
Faming Liang & Chuanhai Liu: Advanced Markov Chain Monte Carlo Methods
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 …
EPUB
İngilizce
DRM
€96.99
Wilfrid S Kendall & Faming Liang: Markov Chain Monte Carlo: Innovations And Applications
Markov Chain Monte Carlo (MCMC) originated in statistical physics, but has spilled over into various application areas, leading to a corresponding variety of techniques and methods. That variety …
PDF
İngilizce
DRM
€194.99
Bochao Jia & Faming Liang: Sparse Graphical Modeling for High Dimensional Data
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; …
PDF
İngilizce
DRM
€63.83
Bochao Jia & Faming Liang: Sparse Graphical Modeling for High Dimensional Data
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; …
EPUB
İngilizce
DRM
€63.49
