Faming Liang's Books

Markov Chain Monte Carlo

Innovations and Applications

By: W. S. Kendall,Faming Liang,Jian-Sheng Wang

Write a review Read reviews Take a Quiz Solve Book Puzzle

Markov Chain Monte Carlo

Innovations and Applications

By: W. S. Kendall,Faming Liang,Jian-Sheng Wang

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 stimulates new ideas and developments from many different places, and there is much to be gained from cross-fertilization. This book presents five expository essays by leaders in the field, drawing from perspectives in physics, statistics and genetics, and showing how different aspects of MCMC come to the fore in different contexts. The essays derive from tutorial lectures at an interdisciplinary program at the Institute for Mathematical Sciences, Singapore, which exploited the exciting ways in which MCMC spreads across different disciplines.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

239

Publisher

World Scientific

Published Date

ISBN 10

9812700919

ISBN 13

9789812700919

Advanced Markov Chain Monte Carlo Methods

Learning from Past Samples

By: Faming Liang,Chuanhai Liu,Raymond Carroll

Write a review Read reviews Take a Quiz Solve Book Puzzle

Advanced Markov Chain Monte Carlo Methods

Learning from Past Samples

By: Faming Liang,Chuanhai Liu,Raymond Carroll

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 bioinformatics, machine learning, social science, combinatorial optimization, and computational physics. Key Features: Expanded coverage of the stochastic approximation Monte Carlo and dynamic weighting algorithms that are essentially immune to local trap problems. A detailed discussion of the Monte Carlo Metropolis-Hastings algorithm that can be used for sampling from distributions with intractable normalizing constants. Up-to-date accounts of recent developments of the Gibbs sampler. Comprehensive overviews of the population-based MCMC algorithms and the MCMC algorithms with adaptive proposals. This book can be used as a textbook or a reference book for a one-semester graduate course in statistics, computational biology, engineering, and computer sciences. Applied or theoretical researchers will also find this book beneficial.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

308

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119956803

ISBN 13

9781119956808

Sparse Graphical Modeling for High Dimensional Data

A Paradigm of Conditional Independence Tests

By: Faming Liang,Bochao Jia

Write a review Read reviews Take a Quiz Solve Book Puzzle

Sparse Graphical Modeling for High Dimensional Data

A Paradigm of Conditional Independence Tests

By: Faming Liang,Bochao Jia

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

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

151

Publisher

CRC Press

Published Date

ISBN 10

0429584806

ISBN 13

9780429584800

Markov Chain Monte Carlo

Innovations and Applications

By: W. S. Kendall,Faming Liang,Jian-Sheng Wang

Write a review Read reviews Take a Quiz Solve Book Puzzle

Markov Chain Monte Carlo

Innovations and Applications

By: W. S. Kendall,Faming Liang,Jian-Sheng Wang

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

239

Publisher

World Scientific

Published Date

ISBN 10

9812700919

ISBN 13

9789812700919

Book's by Faming Liang

Markov Chain Monte Carlo

Markov Chain Monte Carlo

Advanced Markov Chain Monte Carlo Methods

Advanced Markov Chain Monte Carlo Methods

Sparse Graphical Modeling for High Dimensional Data

Sparse Graphical Modeling for High Dimensional Data

Markov Chain Monte Carlo

Markov Chain Monte Carlo

Username

Password

Username

Password

Password again

Birthday

Email