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Over the last few decades, the Supreme Court and the federal appellate courts have undergone a dramatic shift to the right, the result of a determined effort by right-wing lawmakers and presidents to reinterpret the Constitution by reshaping the judiciary. Conservative activist justices have narrowed the scope of the Constitution, denying its protections to millions of Americans, exactly as the lawmakers who appointed and confirmed these jurists intended. Basic long-standing principles of constitutional law have been overturned by the Rehnquist and Roberts courts. As distinguished law professor and constitutional expert Erwin Chemerinsky demonstrates in this invaluable book, these changes af...
Between 1391 and the end of the 15th century, numerous Spanish Jews converted to Christianity, most of them under duress. Before and after 1492, when the Jews were officially expelled from Spain, a significant number of these conversos maintained clandestine ties to Judaism, despite their outward conformity to Catholicism. Through the lens of the Inquisition's own records, this groundbreaking study focuses on the crypto-Jewish women of Castile, demonstrating their central role in the perpetuation of crypto-Jewish society in the absence of traditional Jewish institutions led by men. Renee Levine Melammed shows how many "conversas" acted with great courage and commitment to perpetuate their religious heritage, seeing themselves as true daughters of Israel. Her fascinating book sheds new light on the roles of women in the transmission of Jewish traditions and cultures.
The book is a collection of some of the research presented at the workshop of the same name held in May 2003 at Rutgers University. The workshop brought together researchers from two different communities: statisticians and specialists in computational geometry. The main idea unifying these two research areas turned out to be the notion of data depth, which is an important notion both in statistics and in the study of efficiency of algorithms used in computational geometry. Many of the articles in the book lay down the foundations for further collaboration and interdisciplinary research. Information for our distributors: Co-published with the Center for Discrete Mathematics and Theoretical Computer Science beginning with Volume 8. Volumes 1-7 were co-published with the Association for Computer Machinery (ACM).
New technologies allow us to handle increasingly large datasets, while monitoring devices are becoming ever more sophisticated. This high-tech progress produces statistical units sampled over finer and finer grids. As the measurement points become closer, the data can be considered as observations varying over a continuum. This intrinsic continuous data (called functional data) can be found in various fields of science, including biomechanics, chemometrics, econometrics, environmetrics, geophysics, medicine, etc. The failure of standard multivariate statistics to analyze such functional data has led the statistical community to develop appropriate statistical methodologies, called Functional...
This book contains a collection of survey papers in the areas of algorithms, lan guages and complexity, the three areas in which Professor Ronald V. Book has made significant contributions. As a fonner student and a co-author who have been influenced by him directly, we would like to dedicate this book to Professor Ronald V. Book to honor and celebrate his sixtieth birthday. Professor Book initiated his brilliant academic career in 1958, graduating from Grinnell College with a Bachelor of Arts degree. He obtained a Master of Arts in Teaching degree in 1960 and a Master of Arts degree in 1964 both from Wesleyan University, and a Doctor of Philosophy degree from Harvard University in 1969, under the guidance of Professor Sheila A. Greibach. Professor Book's research in discrete mathematics and theoretical com puter science is reflected in more than 150 scientific publications. These works have made a strong impact on the development of several areas of theoretical computer science. A more detailed summary of his scientific research appears in this volume separately.
This volume of selected and peer-reviewed contributions on the latest developments in time series analysis and forecasting updates the reader on topics such as analysis of irregularly sampled time series, multi-scale analysis of univariate and multivariate time series, linear and non-linear time series models, advanced time series forecasting methods, applications in time series analysis and forecasting, advanced methods and online learning in time series and high-dimensional and complex/big data time series. The contributions were originally presented at the International Work-Conference on Time Series, ITISE 2016, held in Granada, Spain, June 27-29, 2016. The series of ITISE conferences provides a forum for scientists, engineers, educators and students to discuss the latest ideas and implementations in the foundations, theory, models and applications in the field of time series analysis and forecasting. It focuses on interdisciplinary and multidisciplinary research encompassing the disciplines of computer science, mathematics, statistics and econometrics.
Bainton Prize for History and Theology Honorable Mention Deza and Its Moriscos addresses an incongruity in early modern Spanish historiography: a growing awareness of the importance played by Moriscos in Spanish society and culture alongside a dearth of knowledge about individuals or local communities. By reassessing key elements in the religious and social history of early modern Spain through the experience of the small Castilian town of Deza, Patrick J. O'Banion asserts the importance of local history in understanding large-scale historical events and challenges scholars to rethink how marginalized people of the past exerted their agency. Moriscos, baptized Muslims and their descendants, ...
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New statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time series models for univariate and multivariate time series data. It brings together material previously available only in the professional literature and presents a unified view of the most advanced procedures available for time series model building. The authors begin with basic concepts in univariate time series, providing an up-to-date presentation of ARIMA models, including the Kalman filter, outlier analysis, automatic methods for building ARIMA models, and signal extraction. They then move on to advanced topics, focusing on heteroscedastic models, nonl...