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Multivariate Kernel Smoothing and Its Applications
Kernel smoothing has greatly evolved since its inception to become an essential methodology in the data science tool kit for the 21st century. Its widespread adoption is due to its fundamental role for multivariate exploratory data analysis, as well as the crucial role it plays in composite solutions to complex data challenges. Multivariate Kernel Smoothing and Its Applications offers a comprehensive overview of both aspects. It begins with a thorough exposition of the approaches to achieve the two basic goals of estimating probability density functions and their derivatives. The focus then turns to the applications of these approaches to more complex data analysis goals, many with a geometr...
The 20th Century A-GI
Each volume of the Dictionary of World Biography contains 250 entries on the lives of the individuals who shaped their times and left their mark on world history. This is not a who's who. Instead, each entry provides an in-depth essay on the life and career of the individual concerned. Essays commence with a quick reference section that provides basic facts on the individual's life and achievements. The extended biography places the life and works of the individual within an historical context, and the summary at the end of each essay provides a synopsis of the individual's place in history. All entries conclude with a fully annotated bibliography.
Outpost of Empire
Napoleon’s forces invaded Spain in 1808, but two years went by before they overran the southern region of Andalucía. Situated at the farthest frontier of Napoleon’s “outer empire,” Andalucía remained under French control only briefly—for two-and-a-half years—and never experienced the normal functions of French rule. In this groundbreaking examination of the Peninsular War, Charles J. Esdaile moves beyond traditional military history to examine the French occupation of Andalucía and the origins and results of the region’s complex and chaotic response. Disillusioned by the Spanish provisional government and largely unprotected, Andalucía scarcely fired a shot in its defense w...
Probabilistic Foundations of Statistical Network Analysis
Probabilistic Foundations of Statistical Network Analysis presents a fresh and insightful perspective on the fundamental tenets and major challenges of modern network analysis. Its lucid exposition provides necessary background for understanding the essential ideas behind exchangeable and dynamic network models, network sampling, and network statistics such as sparsity and power law, all of which play a central role in contemporary data science and machine learning applications. The book rewards readers with a clear and intuitive understanding of the subtle interplay between basic principles of statistical inference, empirical properties of network data, and technical concepts from probabili...
Absolute Risk
Absolute Risk: Methods and Applications in Clinical Management and Public Health provides theory and examples to demonstrate the importance of absolute risk in counseling patients, devising public health strategies, and clinical management. The book provides sufficient technical detail to allow statisticians, epidemiologists, and clinicians to build, test, and apply models of absolute risk. Features: Provides theoretical basis for modeling absolute risk, including competing risks and cause-specific and cumulative incidence regression Discusses various sampling designs for estimating absolute risk and criteria to evaluate models Provides details on statistical inference for the various sampli...
Handbook of Latin American Studies
Beginning with volume 41 (1979), the University of Texas Press became the publisher of the Handbook of Latin American Studies, the most comprehensive annual bibliography in the field. Compiled by the Hispanic Division of the Library of Congress and annotated by a corps of more than 130 specialists in various disciplines, the Handbook alternates from year to year between social sciences and humanities. The Handbook annotates works on Mexico, Central America, the Caribbean and the Guianas, Spanish South America, and Brazil, as well as materials covering Latin America as a whole. Most of the subsections are preceded by introductory essays that serve as biannual evaluations of the literature and...
Nonparametric Models for Longitudinal Data
Nonparametric Models for Longitudinal Data with Implementations in R presents a comprehensive summary of major advances in nonparametric models and smoothing methods with longitudinal data. It covers methods, theories, and applications that are particularly useful for biomedical studies in the era of big data and precision medicine. It also provides flexible tools to describe the temporal trends, covariate effects and correlation structures of repeated measurements in longitudinal data. This book is intended for graduate students in statistics, data scientists and statisticians in biomedical sciences and public health. As experts in this area, the authors present extensive materials that are...
Sufficient Dimension Reduction
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 Provides comprehensive coverage of this emerging research field. Synthesizes a wide variety of ...
