naked economics undressing the dismal science fully revised and updated

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Naked Economics Undressing The Dismal Science Fully Revised And Updated

Author : Charles Wheelan
ISBN : 0393079759
Genre : Business & Economics
File Size : 72. 51 MB
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"Clear, concise, informative, witty and, believe it or not, entertaining." —Chicago Tribune Finally! A book about economics that won’t put you to sleep. In fact, you won’t be able to put this bestseller down. In our challenging economic climate, this perennial favorite of students and general readers is more than a good read, it’s a necessary investment—with a blessedly sure rate of return. Demystifying buzzwords, laying bare the truths behind oft-quoted numbers, and answering the questions you were always too embarrassed to ask, the breezy Naked Economics gives readers the tools they need to engage with pleasure and confidence in the deeply relevant, not so dismal science. This revised and updated edition adds commentary on hot topics, including the current economic crisis, globalization, the economics of information, the intersection of economics and politics, and the history—and future—of the Federal Reserve.

Naked Economics Undressing The Dismal Science

Author : Charles Wheelan
ISBN : 0393324869
Genre : Business & Economics
File Size : 41. 77 MB
Format : PDF
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Seeks to provide a genuinely engaging and comprehensive primer to economics that explains key concepts without technical jargon and using common-sense examples. Reprint. 20,000 first printing.

Differential Privacy

Author : Ninghui Li
ISBN : 9781627052979
Genre : Computers
File Size : 44. 27 MB
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Over the last decade, differential privacy (DP) has emerged as the de facto standard privacy notion for research in privacy-preserving data analysis and publishing. The DP notion offers strong privacy guarantee and has been applied to many data analysis tasks. This Synthesis Lecture is the first of two volumes on differential privacy. This lecture differs from the existing books and surveys on differential privacy in that we take an approach balancing theory and practice. We focus on empirical accuracy performances of algorithms rather than asymptotic accuracy guarantees. At the same time, we try to explain why these algorithms have those empirical accuracy performances. We also take a balanced approach regarding the semantic meanings of differential privacy, explaining both its strong guarantees and its limitations. We start by inspecting the definition and basic properties of DP, and the main primitives for achieving DP. Then, we give a detailed discussion on the the semantic privacy guarantee provided by DP and the caveats when applying DP. Next, we review the state of the art mechanisms for publishing histograms for low-dimensional datasets, mechanisms for conducting machine learning tasks such as classification, regression, and clustering, and mechanisms for publishing information to answer marginal queries for high-dimensional datasets. Finally, we explain the sparse vector technique, including the many errors that have been made in the literature using it. The planned Volume 2 will cover usage of DP in other settings, including high-dimensional datasets, graph datasets, local setting, location privacy, and so on. We will also discuss various relaxations of DP.

The American Economic Review

Author :
ISBN : UCSD:31822033953845
Genre : Economics
File Size : 67. 6 MB
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