Sufficient Dimension Reduction (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data visualization, machine learning, genomics, image processing, pattern recognition, and medicine, because they are fields that produce large datasets with a large number of variables. Sufficient Dimension Reduction: Methods and Applications with R introduces the basic theories and the main methodologies, provides practical and easy-to-use algorithms and computer codes to implement these methodologies, and surveys the recent advances at the frontiers of this field.\nFeatures\nProvides comprehensive coverage of this emerging research field.\nSynthesizes a wide variety of dimension reduction methods under a few unifying principles such as projection in Hilbert spaces, kernel mapping, and von Mises expansion.\nReflects most recent advances such as nonlinear sufficient dimension reduction, dimension folding for tensorial data, as well as sufficient dimension reduction for functional data.\nIncludes a set of computer codes written in R that are easily implemented by the readers.\nUses real data sets available online to illustrate the usage and power of the described methods.\nSufficient dimension reduction has undergone momentous development in recent years, partly due to the increased demands for techniques to process high-dimensional data, a hallmark of our age of Big Data. This book will serve as the perfect entry into the field for the beginning researchers or a handy reference for the advanced ones.\nThe author\nBing Li obtained his Ph.D. from the University of Chicago. He is currently a Professor of Statistics at the Pennsylvania State University. His research interests cover sufficient dimension reduction, statistical graphical models, functional data analysis, machine learning, estimating equations and quasilikelihood, and robust statistics. He is a fellow of the Institute of Mathematical Statistics and the American Statistical Association. He is an Associate Editor for The Annals of Statistics and the Journal of the American Statistical Association.

Business & Money

李, 冰

Economics

Routledge

Despite the accepted fact that a substantial part of the risk and return of any portfolio comes from asset allocation, we find today that the majority of investment professionals worldwide are focused on security selection. Multi-Asset Investing: A Practitioner’s Framework questions this basic structure of the investment process and investment industry. <ul>
<li>Who says we have to separate alpha and beta?</li> <li>Are the traditional definitions for risk and risk premium relevant in a multi-asset class world?</li> <li>Do portfolios cater for the ‘real risks’ in their investment processes?</li> <li>Does the whole Emerging Markets demarcation make sense for investing?</li> <li>Why do active Asian managers perform much poorer compared to developed market managers?</li> <li>Can you distinguish how much of a strategy’s performance comes from skill rather than luck?</li> <li>Does having a performance fee for your manager create alignment or misalignment?</li> <li>Why is the asset management transitioning from multi-asset strategies to multi-asset solutions?</li> </ul>
These and many other questions are asked, and suggestions provided as potential solutions. Having worked together for fifteen years, the authors’ present implementable solutions which have helped them successfully manage large asset pools. The Academic Perspective “Multi-Asset Investing asks fundamental questions about the asset allocation investment processes in use today, and can have a substantial impact on the future structure of the finance industry. It clarifies and distils the techniques that investment professionals need to master to add value to client portfolios.” ―Paul Smith, President &amp; CEO, CFA Institute “Pranay Gupta, Sven Skallsjo, and Bing Li describe the essential concepts and applications of multi-asset investing. Their treatment is far ranging and exceptionally lucid, and always with a nod to practical application. Buy this book and keep it close at hand.” ―Mark Kritzman, MIT Sloane School of Management “Innovative solutions to some of the most difficult investment problems we are faced with today. Multi-asset Investing tackles investment issues which don’t have straight forward solutions, but nevertheless are faced by every investment professional. This book sets the standard for investment processes of all asset managers.” ―SP Kothari, MIT Sloane School of Management The Asset Owner Perspective “Multi-asset means different things to different people. This is the first text that details a comprehensive framework for managing any kind of multi-asset investment problem. Further, its explanation of the commercial aspects of managing a multi-asset investment business for an asset manager, private bank or asset owner make it an indispensable tool” ―Sadayuki Horie, Dy. Chairman - Investment Advisory Comm., Government Pension Investment Fund, Japan “Multi-Asset Investing shows the substantial scope there is to innovate the asset allocation process. With its novel approaches to allocation, portfolio construction and risk management it demonstrates the substantial value that can be added to any portfolio. The solutions proposed by Multi-Asset Investing are creative, thought provoking, and may well be the way all portfolios need to be managed in the future.” ―Mario Therrien, Senior Vice President, Caisse de Depot et Placement du Quebec, Canada The Asset Manager’s Perspective “Never has astute asset allocation and diversification been more crucial than today. Asset Managers which are able to innovate their investment processes and products in this area, are more likely to be the winners. Multi-Asset Investing provides both

Multi-Asset Investing: A Practitioner's Framework

Gupta, Pranay

Skallsjo, Sven R.

Finance

wiley

This textbook offers an accessible and comprehensive overview of statistical estimation and inference that reflects current trends in statistical research. It draws from three main themes throughout: the finite-sample theory, the asymptotic theory, and Bayesian statistics. The authors have included a chapter on estimating equations as a means to unify a range of useful methodologies, including generalized linear models, generalized estimation equations, quasi-likelihood estimation, and conditional inference. They also utilize a standardized set of assumptions and tools throughout, imposing regular conditions and resulting in a more coherent and cohesive volume. Written for the graduate-level audience, this text can be used in a one-semester or two-semester course.

A Graduate Course on Statistical Inference (Springer Texts in Statistics)

Science & Math

Babu, G. Jogesh

Mathematics

Springer

Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data visualization, machine learning, genomics, image processing, pattern recognition, and medicine, because they are fields that produce large datasets with a large number of variables. Sufficient Dimension Reduction: Methods and Applications with R introduces the basic theories and the main methodologies, provides practical and easy-to-use algorithms and computer codes to implement these methodologies, and surveys the recent advances at the frontiers of this field. Features <ul>
<li>Provides comprehensive coverage of this emerging research field.</li> <li>Synthesizes a wide variety of dimension reduction methods under a few unifying principles such as projection in Hilbert spaces, kernel mapping, and von Mises expansion.</li> <li>Reflects most recent advances such as nonlinear sufficient dimension reduction, dimension folding for tensorial data, as well as sufficient dimension reduction for functional data.</li> <li>Includes a set of computer codes written in R that are easily implemented by the readers.</li> <li>Uses real data sets available online to illustrate the usage and power of the described methods.</li> </ul> Sufficient dimension reduction has undergone momentous development in recent years, partly due to the increased demands for techniques to process high-dimensional data, a hallmark of our age of Big Data. This book will serve as the perfect entry into the field for the beginning researchers or a handy reference for the advanced ones. The author Bing Li obtained his Ph.D. from the University of Chicago. He is currently a Professor of Statistics at the Pennsylvania State University. His research interests cover sufficient dimension reduction, statistical graphical models, functional data analysis, machine learning, estimating equations and quasilikelihood, and robust statistics. He is a fellow of the Institute of Mathematical Statistics and the American Statistical Association. He is an Associate Editor for The Annals of Statistics and the Journal of the American Statistical Association.

Chapman and Hall/CRC

Nearly 2,300 images provide the reference standard for normal skeletal maturation at every developmental stage
When dealing with the maturing skeleton and its many complex growth alterations, physicians are constantly faced with the question: "Is this image normal?" The Radiographic Atlas of Skeletal Maturation succinctly answers that question by providing a comprehensive set of male and female reference images for every age and body part. This allows physicians to quickly hone in on "normal" ranges for the specific case they are reviewing--particularly useful when called upon to read a pediatric skeletal radiograph in the emergency room or while on call.
Special Features:
<ul>
<li>Access to nearly 2,300 high-quality images that provide instant reference to "normal" views of the skeleton at every developmental milestone-available in both the text and accompanying DVD </li>
<li>Multiple projections at every age, sex, and body part combination so that the user can match the reference points in the book to the case at hand and arrive at a solid clinical interpretation </li>
<li>Practical text layout organized by gender and body part that provides quick access to images of normal development at any given age </li>
<li>A software virtual "skeletal survey" demonstrates images of younger and older individuals and crystallizes the subtle variations in growth patterns </li>
<li>Powerful software package with advanced image enhancement tools allows optimization of atlas image details for greater clarity. Compatible with numerous image formats (including DICOM) allowing viewing and editing of outside images </li>
<li>Convenient growth charts included in the book and DVD</li>
</ul>
This unique resource, with its vast collection of print and DVD images of normal progressive skeletal development, gives physicians the full range of comparative information they need to interpret pediatric skeletal radiographs in any clinical setting. It is the reference standard for radiologists, pediatricians, orthopedists, emergency room physicians, internists, rehabilitation physicians, and training physicians who are called upon to review a pediatric radiograph and confidently make a diagnosis.

Radiographic Atlas of Skeletal Maturation

Medical Books

Kahn, S. Lowell

Gaskin, Christopher M.

Sharp, Victoria L.

Keats, Theodore E.

Medicine

Thieme

在20世纪80年代，以文革为题材的“伤痕文学”和“反思文学”成了大陆文坛的主流，而与此同时一些海外华人也在用英文进行着文革写作，成了文革文学的海外映照。这些海外文革文学在西方世界获得成功后又被相继译成中文，在大陆出版，成了一种特殊的文化现象。海外文革文学作者大多是移居海外的华人，深受中西两种文化的影响，而且他们向西方读者讲述的是“文革”这一颇为敏感的中国故事，因此这些作品的汉译不仅仅是简单的语言转换，更是一次中西社会文化的正面交锋。 《上海生死劫》为郑念所著的英文自传性作品，记述了她从文革开始到八十年代初出国这段时间的个人遭遇。由于此书题材的敏感性和郑念本身独特的中西视角，译者和出版社在中文版中对原文进行了较大程度上的修改，这实际上是社会文化因素对翻译的一种操控。因此，本书选取勒菲弗尔的操控理论为支撑，从主流意识形态、赞助人、诗学形态这三个角度出发，通过大量译例探究了社会文化因素是如何对翻译进行操控的。

被操控的海外文革文学汉译—以程乃珊、潘佐君译《上海生死劫》为例 (Chinese Edition)

金琅学术出版社

人生很短我决定活得有趣

Huazhong University of Science & Technology Press Co.,Ltd

Parallel processing is a very important technique for improving the performance of various software development and maintenance activities. The purpose of this book is to introduce important techniques for parallel executation of high-level specifications of software systems. These techniques are very useful for the construction, analysis, and transformation of reliable large-scale and complex software systems.

Hybrid Parallel Execution Model for Logic-Based Specification Languages

Computers & Technology

Tsai, Jeffrey J.P.

Computer Science

World Scientific Publishing Company

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