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Development Of Modern Statistics And Related Topics: In Celebration Of Prof Yaoting Zhang's 70th Birthday
This book encompasses a wide range of important topics. The articles cover the following areas: asymptotic theory and inference, biostatistics, economics and finance, statistical computing and Bayesian statistics, and statistical genetics. Specifically, the issues that are studied include large deviation, deviation inequalities, local sensitivity of model misspecification in likelihood inference, empirical likelihood confidence intervals, uniform convergence rates in density estimation, randomized designs in clinical trials, MCMC and EM algorithms, approximation of p-values in multipoint linkage analysis, use of mixture models in genetic studies, and design and analysis of quantitative traits.
Contemporary Multivariate Analysis and Design of Experiments
Index. Subject index -- Author index
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 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.
Recent Advances in Biostatistics
This unique volume provides self-contained accounts of some recent trends in Biostatistics methodology and their applications. It includes state-of-the-art reviews and original contributions. The articles included in this volume are based on a careful sel
Proceedings of the 2022 International Conference on Green Building, Civil Engineering and Smart City
This book of the conference proceedings focuses on innovative design, technology and methods in the fields of building, civil engineering and smart city. It contains a large number of detailed design, construction and performance analysis charts, benefited to students, teachers, research scholars and other professionals in related fields. As well, readers will encounter new ideas for realizing more safe, intelligent and economical buildings.
Advances In Statistical Modeling And Inference: Essays In Honor Of Kjell A Doksum
There have been major developments in the field of statistics over the last quarter century, spurred by the rapid advances in computing and data-measurement technologies. These developments have revolutionized the field and have greatly influenced research directions in theory and methodology. Increased computing power has spawned entirely new areas of research in computationally-intensive methods, allowing us to move away from narrowly applicable parametric techniques based on restrictive assumptions to much more flexible and realistic models and methods. These computational advances have also led to the extensive use of simulation and Monte Carlo techniques in statistical inference. All of...
The Statistics of Gene Mapping
This book details the statistical concepts used in gene mapping, first in the experimental context of crosses of inbred lines and then in outbred populations, primarily humans. It presents elementary principles of probability and statistics, which are implemented by computational tools based on the R programming language to simulate genetic experiments and evaluate statistical analyses. Each chapter contains exercises, both theoretical and computational, some routine and others that are more challenging. The R programming language is developed in the text.
The World Bank Research Program 2004
The World Bank's research is intended to address critical issues and problems facing member governments in developing and transition economies. How can the governments of the poorest countries generate enough revenue to provide the education and health services essential to reducing poverty and promoting growth and development? How can poor countries attract investors to build the infrastructure their economies need? How can they develop systems to bring clean water to the 2 billion people without it today? How can they train teachers and bring to class the 115 million children who have not yet received any education? And how can rich countries be persuaded to lower market barriers, helping ...
