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The concepts of statistical physics and big data play an important role in the evidence-based analysis and interpretation of macroeconomic principles. The techniques of complex networks, big data, and statistical physics are useful to understand theories of economic systems, and the authors have applied these to understand the intricacies of complex macroeconomic problems. Recent research work using tools and techniques of big data, statistical physics, complex networks, and statistical science is covered, and basic graph algorithms and statistical measures of complex networks are described.…mehr

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Produktbeschreibung
The concepts of statistical physics and big data play an important role in the evidence-based analysis and interpretation of macroeconomic principles. The techniques of complex networks, big data, and statistical physics are useful to understand theories of economic systems, and the authors have applied these to understand the intricacies of complex macroeconomic problems. Recent research work using tools and techniques of big data, statistical physics, complex networks, and statistical science is covered, and basic graph algorithms and statistical measures of complex networks are described. The application of big data and statistical physics tools to assess price dynamics, inflation, systemic risks, and productivity is discussed. Chapter-end summary and numerical problems are provided to reinforce understanding of concepts.

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Autorenporträt
Hideaki Aoyama obtained his Ph.D. from the California Institute of Technology in 1982 and studied High Energy Physics at SLAC National Accelerator Laboratory as a postdoctoral fellow. He was a visiting scholar at Harvard University, Massachusetts, and a lecturer at Northeastern University, Boston. He is an Advising Council for Credit Risk Database (Tokyo) and a Faculty Member of the Research Institute of Economy, Trade and Industry, Tokyo (RIETI).