An intuitive, up-to-date introduction to random matrix theory and free calculus, with real world illustrations and Big Data applications.
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Marc Potters is Chief Investment Officer of CFM, an investment firm based in Paris. Marc maintains strong links with academia and as an expert in Random Matrix Theory, he has taught at UCLA and Sorbonne University. He is co-author of Theory of Financial Risk and Derivative Pricing (Cambridge 2003).
Jean-Philippe Bouchaud is a pioneer in Econophysics. His research includes random matrix theory, statistics of price formation, stock market fluctuations, and agent-based models for financial markets and macroeconomics. His previous books include Theory of Financial Risk and Derivative Pricing (Cambridge, 2003) and Trades, Quotes & Prices (Cambridge, 2018), and he has been the recipient of several prestigious, international awards.
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Zustand: New. Classical statistical tools that handled real-life data have become inadequate upon the emergence of Big Data. Random matrix theory and free calculus introduced here present valuable solutions to the complex challenges posed by large datasets. Real world ap. Artikel-Nr. 398041981
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Buch. Zustand: Neu. A First Course in Random Matrix Theory | for Physicists, Engineers and Data Scientists | Jean-Philippe Bouchaud (u. a.) | Buch | Gebunden | Englisch | 2020 | Cambridge University Press | EAN 9781108488082 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. Artikel-Nr. 121100108
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