The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed in the authors' study of tree methods. Classification and Regression Trees reflects these two sides, covering the use of trees as a data analysis method, and in a more mathematical framework, pr...

China's growth in the past few decades has been unprecedented, and continues to stay strong as it expands its influence around the globe. However, in many ways, the once insular China is still looking to find its footing as an international player in the globalization game. Greater China in an Era of Globalization looks at the success of China and its surrounding territories of Taiwan, Hong Kong, and Macau and asks the question "What is Chinese globalization?". The contributors in...

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling met...

This is a best-seller in China and a geopolitical book for our times. As a leading thinker from China, Zhang Weiwei provides an original, comprehensive and engrossing study on the rise of China and its effective yet controversial model of development, and the book has become a centerpiece of an unfolding debate within China on the nature and future of the world's most populous nation and its possible global impact. China's rise, according to Zhang, is not the rise of an ordinary country, b...

Soft power has become a very popular concept in international affairs, appearing in government policy papers, academic discussions, and the popular media. In China, soft power has become one of the most frequently used phrases among political leaders, leading academics, and journalists. Defined against hard power, which often involves threat and coercion, soft power applies attraction, persuasion, and cooperation, finding its sources in culture, political values, and foreign policies. Chin...

The field's leading text, now completely updated.Modeling dynamical systems — theory, methodology, and applications.Lennart Ljung's System Identification: Theory for the User is a complete, coherent description of the theory, methodology, and practice of System Identification. This completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data, and general non-linear black box methods, including neural networks and neuro-f...

An introduction to statistical data mining, Data Analysis and Data Mining is both textbook and professional resource. Assuming only a basic knowledge of statistical reasoning, it presents core concepts in data mining and exploratory statistical models to students and professional statisticians-both those working in communications and those working in a technological or scientific capacity-who have a limited knowledge of data mining. This book presents key statistical concepts by w...

This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent de...

From 1998 to 2005, six elections took place in postcommunist Europe that had the surprising outcome of empowering the opposition and defeating authoritarian incumbents or their designated successors. Valerie J. Bunce and Sharon L. Wolchik compare these unexpected electoral breakthroughs. They draw three conclusions. First, the opposition was victorious because of the hard and creative work of a transnational network composed of local opposition and civil society groups, members of the inte...

This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of “boosting,” how to exploit them in m...

In this paper, three long-time observers of Russia and the EU perform a reality check on the EU–Russia relationship. All three authors agree that a more realistic EU policy would deal with Russia as it is, not as the EU wants it to be. The reality of today’s Russia is complex, as is the policy formulation process in the EU. Nevertheless, the EU should start with a clearer idea of where its own interests and priorities lie. It should accept that it can achieve fruitful cooperation with Russ...

This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical and philosophical justifications.Readers are empowered to participate in the real-life data analysis situations depicted here from the ...