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 द्वारा ईबुक 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 sam …
PDF
अंग्रेज़ी
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 sam …
EPUB
अंग्रेज़ी
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 stim …
PDF
अंग्रेज़ी
DRM
€209.99
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; un …
PDF
अंग्रेज़ी
DRM
€64.33
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; un …
EPUB
अंग्रेज़ी
DRM
€64.01
