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Monte Carlo and Quasi-Monte Carlo Methods
This book presents the refereed proceedings of the Eleventh International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of Leuven (Belgium) in April 2014. These biennial conferences are major events for Monte Carlo and quasi-Monte Carlo researchers. The proceedings include articles based on invited lectures as well as carefully selected contributed papers on all theoretical aspects and applications of Monte Carlo and quasi-Monte Carlo methods. Offering information on the latest developments in these very active areas, this book is an excellent reference resource for theoreticians and practitioners interested in solving high-dimensional computational problems, arising, in particular, in finance, statistics and computer graphics.
Statement of Disbursements of the House
Covers receipts and expenditures of appropriations and other funds.
Modern Methods for Robust Regression
Offering an in-depth treatment of robust and resistant regression, this volume takes an applied approach and offers readers empirical examples to illustrate key concepts.
Function Spaces with Dominating Mixed Smoothness
The first part of this book is devoted to function spaces in Euclidean $n$-space with dominating mixed smoothness. Some new properties are derived and applied in the second part where weighted spaces with dominating mixed smoothness in arbitrary bounded domains in Euclidean $n$-space are introduced and studied. This includes wavelet frames, numerical integration and discrepancy, measuring the deviation of sets of points from uniformity. These notes are addressed to graduate students and mathematicians having a working knowledge of basic elements of the theory of function spaces, especially of Besov-Sobolev type. In particular, it will be of interest for researchers dealing with approximation theory, numerical integration and discrepancy.
Bayesian Filtering and Smoothing
A unified Bayesian treatment of the state-of-the-art filtering, smoothing, and parameter estimation algorithms for non-linear state space models.
A Conspiracy So Immense
Few politicians in our history have had the emotional impact of Joe McCarthy and acclaimed historian David Oshinsky’s chronicling of his life has been called both “nuanced” and “masterful.” Here, David Oshinsky presents us with a work heralded as the finest account available of Joe McCarthy’s colorful career. With a storyteller’s eye for the dramatic and presentation of fact, and insightful interpretation of human complexity, Oshinsky uncovers the layers of myth to show the true McCarthy. His book reveals the senator from his humble beginnings as a hardworking Irish farmer’s son in Wisconsin to his glory days as the architect of America’s Cold War crusade against domestic s...
The Cambridge Handbook of Creativity
The Cambridge Handbook of Creativity is a comprehensive scholarly handbook on creativity from the most respected psychologists, researchers, and educators. This handbook serves both as a thorough introduction to the field of creativity and as an invaluable reference and current source of important information. It covers such diverse topics as the brain, education, business, and world cultures. The first section, "Basic Concepts," is designed to introduce readers to both the history of and key concepts in the field of creativity. The next section, "Diverse Perspectives of Creativity," contains chapters on the many ways of approaching creativity. Several of these approaches, such as the functional, evolutionary, and neuroscientific approaches, have been invented or greatly reconceptualized in the last decade. The third section, "Contemporary Debates," highlights ongoing topics that still inspire discussion. Finally, the editors summarize and discuss important concepts from the book and look to what lies ahead.
