Statistical Learning for Big Dependent Data
Author:   Daniel Peña ,  Ruey S. Tsay (University of Chicago, IL, USA)
Publisher:   John Wiley & Sons Inc
ISBN:  

9781119417385


Pages:   560
Publication Date:   11 June 2021
Format:   Hardback
Availability:   Available To Order   Availability explained
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Statistical Learning for Big Dependent Data


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Author:   Daniel Peña ,  Ruey S. Tsay (University of Chicago, IL, USA)
Publisher:   John Wiley & Sons Inc
Imprint:   John Wiley & Sons Inc
Dimensions:   Width: 18.50cm , Height: 3.10cm , Length: 25.90cm
Weight:   1.293kg
ISBN:  

9781119417385


ISBN 10:   1119417384
Pages:   560
Publication Date:   11 June 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Daniel Peña, PhD, is Professor of Statistics at Universidad Carlos III de Madrid, Spain. He received his PhD from Universidad Politecnica de Madrid in 1976 and has taught at the Universities of Wisconsin-Madison, Chicago and Carlos III de Madrid, where he was Rector from 2007 to 2015. Ruey S. Tsay, PhD, is the H.G.B Alexander Professor of Econometrics & Statistics at the Booth School of Business, University of Chicago, United States. He received his PhD in 1982 from the University of Wisconsin-Madison. His research focuses on areas of business and economic forecasting, financial econometrics, risk management, and analysis of big dependent data.

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