Zehua Chen's Books

Statistical Methods for QTL Mapping

By: Zehua Chen

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Statistical Methods for QTL Mapping

By: Zehua Chen

While numerous advanced statistical approaches have recently been developed for quantitative trait loci (QTL) mapping, the methods are scattered throughout the literature. Statistical Methods for QTL Mapping brings together many recent statistical techniques that address the data complexity of QTL mapping. After introducing basic genetics topics and statistical principles, the author discusses the principles of quantitative genetics, general statistical issues of QTL mapping, commonly used one-dimensional QTL mapping approaches, and multiple interval mapping methods. He then explains how to use a feature selection approach to tackle a QTL mapping problem with dense markers. The book also provides comprehensive coverage of Bayesian models and MCMC algorithms and describes methods for multi-trait QTL mapping and eQTL mapping, including meta-trait methods and multivariate sequential procedures. This book emphasizes the modern statistical methodology for QTL mapping as well as the statistical issues that arise during this process. It gives the necessary biological background for statisticians without training in genetics and, likewise, covers statistical thinking and principles for geneticists. Written primarily for geneticists and statisticians specializing in QTL mapping, the book can also be used as a supplement in graduate courses or for self-study by PhD students working on QTL mapping projects.

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Page Count

944

Publisher

CRC Press

Published Date

ISBN 10

0415669863

ISBN 13

9780415669863

Ranked Set Sampling

Theory and Applications

By: Zehua Chen,Zhidong Bai,Bimal Sinha

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Ranked Set Sampling

Theory and Applications

By: Zehua Chen,Zhidong Bai,Bimal Sinha

The first book on the concept and applications of ranked set sampling. It provides a comprehensive review of the literature, and it includes many new results and novel applications. The detailed description of various methods illustrated by real or simulated data makes it useful for scientists and practitioners in application areas such as agriculture, forestry, sociology, ecological and environmental science, and medical studies. It can serve as a reference book and as a textbook for a short course at the graduate level.

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Page Count

235

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0387216642

ISBN 13

9780387216645

Advances in Statistics

Proceedings of the Conference in Honor of Professor Zhidong Bai on His 65th Birthday, National University of Singapore, 20 July 2008

By: Zehua Chen,Jin-Ting Zhang,Feifang Hu

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Advances in Statistics

Proceedings of the Conference in Honor of Professor Zhidong Bai on His 65th Birthday, National University of Singapore, 20 July 2008

By: Zehua Chen,Jin-Ting Zhang,Feifang Hu

This book, which is split into two parts, is about Prof. Zhidong Bai's life and his contributions to statistics and probability. The first part contains an interview with Zhidong Bai conducted by Dr Atanu Biswas from the Indian Statistical Institute, and seven short articles detailing Bai's contributions. The second part is a collection of his selected seminal papers in the areas of random matrix theory, Edgeworth expansion, M-estimation, model selection, adaptive design in clinical trials, applied probability in algorithms, small area estimation, and time series, among others. This book provides an easy access to Zhidong Bai's important works, and serves as a useful reference for researchers who are working in the relevant areas.

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Page Count

397

Publisher

World Scientific

Published Date

ISBN 10

9812793089

ISBN 13

9789812793089

Bringing Machine Learning to Software-Defined Networks

By: Zehua Guo

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Bringing Machine Learning to Software-Defined Networks

By: Zehua Guo

Emerging machine learning techniques bring new opportunities to flexible network control and management. This book focuses on using state-of-the-art machine learning-based approaches to improve the performance of Software-Defined Networking (SDN). It will apply several innovative machine learning methods (e.g., Deep Reinforcement Learning, Multi-Agent Reinforcement Learning, and Graph Neural Network) to traffic engineering and controller load balancing in software-defined wide area networks, as well as flow scheduling, coflow scheduling, and flow migration for network function virtualization in software-defined data center networks. It helps readers reflect on several practical problems of deploying SDN and learn how to solve the problems by taking advantage of existing machine learning techniques. The book elaborates on the formulation of each problem, explains design details for each scheme, and provides solutions by running mathematical optimization processes, conducting simulated experiments, and analyzing the experimental results.

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Publisher

Springer Nature

Published Date

ISBN 10

9811948747

ISBN 13

9789811948749

Triangle Mesh Watermarking and Steganography

By: Hang Zhou,Kejiang Chen,Zehua Ma,Feng Wang,Weiming Zhang

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Triangle Mesh Watermarking and Steganography

By: Hang Zhou,Kejiang Chen,Zehua Ma,Feng Wang,Weiming Zhang

This book provides a systematic overview of watermarking and steganography methods for triangle meshes related to computer graphics and security. The significance of this research has been well recognized by the growing body of work on watermarking, steganography and steganalysis of 3D meshes. With the evolution of the CAD industry and real-world end-user applications such as virtual reality (VR) and 3D printing, 3D meshes have attracted world-wide attention. Besides, the flexible data structure of 3D geometry provides enough space to embed secret information, making it ideal for applications such as copyright protection and covert communication. Our goal of the book is to allow readers to systematically understand 3D mesh information hiding technology and its applications as a whole. The book outlines comprehensive techniques, including handcrafted and deep learning-based techniques, digital and physical techniques in the literature and provides standard evaluation metrics for triangle meshes. The up-to-date geometrical deep learning and 3D printing-related algorithms are also covered. Offering a rich blend of ideas and algorithms, the book is up-to-date and self-contained. It is an excellent reference resource for users who are seeking 3D mesh watermarking and steganography algorithms, as well as for graduate students and researchers wanting to grasp the frontiers of triangular mesh processing on data hiding.

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Page Count

197

Publisher

Springer Nature

Published Date

ISBN 10

9811977208

ISBN 13

9789811977206

Statistical Methods for QTL Mapping

By: Zehua Chen

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Statistical Methods for QTL Mapping

By: Zehua Chen

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Page Count

308

Publisher

CRC Press

Published Date

ISBN 10

143986831X

ISBN 13

9781439868317

Triangle Mesh Watermarking and Steganography

By: Hang Zhou,Kejiang Chen,Zehua Ma,Feng Wang,Weiming Zhang

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Triangle Mesh Watermarking and Steganography

By: Hang Zhou,Kejiang Chen,Zehua Ma,Feng Wang,Weiming Zhang

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Solve jigsaw puzzle

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Page Count

197

Publisher

Springer Nature

Published Date

ISBN 10

9811977208

ISBN 13

9789811977206

Book's by Zehua Chen

Statistical Methods for QTL Mapping

Statistical Methods for QTL Mapping

Ranked Set Sampling

Ranked Set Sampling

Advances in Statistics

Advances in Statistics

Bringing Machine Learning to Software-Defined Networks

Bringing Machine Learning to Software-Defined Networks

Triangle Mesh Watermarking and Steganography

Triangle Mesh Watermarking and Steganography

Statistical Methods for QTL Mapping

Statistical Methods for QTL Mapping

Triangle Mesh Watermarking and Steganography

Triangle Mesh Watermarking and Steganography

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