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A Practical Guide to Heavy Tails
Twenty-four contributions, intended for a wide audience from various disciplines, cover a variety of applications of heavy-tailed modeling involving telecommunications, the Web, insurance, and finance. Along with discussion of specific applications are several papers devoted to time series analysis, regression, classical signal/noise detection problems, and the general structure of stable processes, viewed from a modeling standpoint. Emphasis is placed on developments in handling the numerical problems associated with stable distribution (a main technical difficulty until recently). No index. Annotation copyrighted by Book News, Inc., Portland, OR
Financial Market Risk
This new book uses advanced signal processing technology to measure and analyze risk phenomena of the financial markets. It explains how to scientifically measure, analyze and manage non-stationarity and long-term time dependence (long memory) of financial market returns. It studies, in particular, financial crises in persistent financial markets,
Data Science for Undergraduates
Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field.
The Unknown Black Book
Offering accounts by survivors of work camps, ghettos, forced marches, beatings, starvation, and disease, 'The Unknown Black Book' provides testimonies from Jews who survived massacres and other atrocities carried out by the Germans and their allies in occupied Soviet territories during World War II.
Tales of Transmigration-Sisters
Two five year old girls met in the most tragic of circumstances, on the day they were supposed to die. Miraculously, they survived an unspeakable ordeal and became the best of friends. In fact they became more than friends from that day onward, they became as close and inseparable as only true blood sisters could be. The lifelong bond between Manya and Raya was so strong that nothing could ever tear them apart. Their friendship survived immigration from their birth-country to Israel and Canada and not even the distance of the ocean could destroy their bond. They were meant to be a part of each others lives forever as sisters chosen by destiny.
Financial Modeling of the Equity Market
An inside look at modern approaches to modeling equity portfolios Financial Modeling of the Equity Market is the most comprehensive, up-to-date guide to modeling equity portfolios. The book is intended for a wide range of quantitative analysts, practitioners, and students of finance. Without sacrificing mathematical rigor, it presents arguments in a concise and clear style with a wealth of real-world examples and practical simulations. This book presents all the major approaches to single-period return analysis, including modeling, estimation, and optimization issues. It covers both static and dynamic factor analysis, regime shifts, long-run modeling, and cointegration. Estimation issues, in...
AMSTAT News
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The Politics of Belonging
"This is an in-depth examination of a slippery and contradictory subject. Knowledge alone is not enough for this type of project. It takes breaking out of narrow conceptual cages and unsettling what we think of as stable meanings. The author brings all of this to life in often unforgettable ways." - Saskia Sassen, Professor, Columbia University "National identities were once taken largely for granted in social science. Now they are part of an even more complex ′politics of belonging′ that challenges both public affairs and the categories of social science. Nira Yuval-Davis offers a nuanced account that will be important for scholars and all those concerned with contemporary politics." - ...
Envisioning the Data Science Discipline
The need to manage, analyze, and extract knowledge from data is pervasive across industry, government, and academia. Scientists, engineers, and executives routinely encounter enormous volumes of data, and new techniques and tools are emerging to create knowledge out of these data, some of them capable of working with real-time streams of data. The nation's ability to make use of these data depends on the availability of an educated workforce with necessary expertise. With these new capabilities have come novel ethical challenges regarding the effectiveness and appropriateness of broad applications of data analyses. The field of data science has emerged to address the proliferation of data an...
