Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles, and a handful of ubiquitous techniques, Analysis of Neural Data provides a unified treatment of analytical methods that have become essential for contemporary researchers. Throughout the book ideas are illustrated with more than 100 examples drawn from the literature, ranging from electrophysiology, to neuroimaging, to behavior. By demonstrating the commonality among various statistical approaches the authors provide the crucial tools for gaining knowledge from diverse types of data. Aimed at experimentalists with only high-school level mathematics, as well as computationally-oriented neuroscientists who have limited familiarity with statistics, Analysis of Neural Data serves as both a self-contained introduction and a reference work.
Differential geometry provides an aesthetically appealing and oftenrevealing view of statistical inference. Beginning with anelementary treatment of one-parameter statistical models and endingwith an overview of recent developments, this is the first book toprovide an introduction to the subject that is largely accessibleto readers not already familiar with differential geometry. It alsogives a streamlined entry into the field to readers with richermathematical backgrounds. Much space is devoted to curvedexponential families, which are of interest not only because theymay be studied geometrically but also because they are analyticallyconvenient, so that results may be derived rigorously. In addition,several appendices provide useful mathematical material on basicconcepts in differential geometry. Topics covered include thefollowing: * Basic properties of curved exponential families * Elements of second-order, asymptotic theory * The Fisher-Efron-Amari theory of information loss and recovery * Jeffreys-Rao information-metric Riemannian geometry * Curvature measures of nonlinearity * Geometrically motivated diagnostics for exponential familyregression * Geometrical theory of divergence functions * A classification of and introduction to additional work in thefield
The trusted landmark cardiology resource—thoroughly updated to reflect the latest clinical perspectives Includes DVD with image bank A Doody's Core Title ESSENTIAL PURCHASE for 2011! 5 STAR DOODY'S REVIEW! "This is an outstanding choice for those who strive for a firm foundation in cardiovascular medicine, as well as an up-to-date and user-friendly source that addresses every discipline in the field. The updates and enhancements to this edition have made the book easier to use."--Doody's Review Service Through thirteen editions, Hurst’s the Heart has always represented the cornerstone of current scholarship in the discipline. Cardiologists, cardiology fellows, and internists from across the globe have relied on its unmatched authority, breadth of coverage, and clinical relevance to help optimize patient outcomes. The thirteenth edition of Hurst’s the Heart continues this standard-setting tradition with 19 new chapters and 59 new authors, each of whom are internationally recognized as experts in their respective content areas. Featuring an enhanced, reader-friendly design, the new edition covers need-to-know clinical advances, as well as issues that are becoming increasingly vital to cardiologists worldwide. As in previous editions, you will find the most complete overview of cardiology topics available—plus a timely new focus on evidence-based medicine, health outcomes, and health quality. New Features 1548 full-color illustrations and 578 tables Companion DVD with image bank includes key figures and tables from the text The Cardiovascular Disease: Past, Present, and Future section includes a new chapter on assessing and improving quality of care in cardiovascular medicine The section on the scientific foundations of cardiovascular medicine has been thoroughly revised 2 new chapters in the section on the evaluation of the patient detail the process of effective diagnostic decision making based on technology, clinical trials, and practice guidelines A new chapter in the section on heart failure details cardiac transplantation The sections on primary heart disease include new chapters on topics such as preventive strategies for coronary artery disease and updated pharmacologic strategies for acute coronary syndromes The section on cardiopulmonary disease features new chapters on chronic cor pulmonale and sleep disorder breathing and its relationship to cardiovascular disease The section on valvular heart disease has four of the six chapter completely rewritten by new authors who are authorities in the field The final six sections feature new chapters on the environment and heart disease, surgical treatment of carotid and peripheral vascular disease and cost effective strategies in cardiology
High dimensional integration arises naturally in two major sub-fields of statistics: multivariate and Bayesian statistics. Indeed, the most common measures of central tendency, variation, and loss are defined by integrals over the sample space, the parameter space, or both. Recent advances in computational power have stimulated significant new advances in both Bayesian and classical multivariate statistics. In many statistical problems, however, multiple integration can be the major obstacle to solutions. This volume contains the proceedings of an AMS-IMS-SIAM Joint Summer Research Conference on Statistical Multiple Integration, held in June 1989 at Humboldt State University in Arcata, California. The conference represents an attempt to bring together mathematicians, statisticians, and computational scientists to focus on the many important problems in statistical multiple integration. The papers document the state of the art in this area with respect to problems in statistics, potential advances blocked by problems with multiple integration, and current work directed at expanding the capability to integrate over high dimensional surfaces.
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