Time Series Prediction: Forecasting The Future And Understanding The Past (Santa Fe Institute Series) - Softcover

Buch 14 von 14: Santa Fe Institute Studies in the Sciences of Complexity
 
9780201626025: Time Series Prediction: Forecasting The Future And Understanding The Past (Santa Fe Institute Series)

Inhaltsangabe

The book is a summary of a time series forecasting competition that was held a number of years ago. The competition used four different kinds of time series (for example, one data set was chaotic from measurements of a laser, and another was a multidimensional physiological times series of heart beats and respiration, etc.).
The strength of the book lies in that it represents several ways to approach real time series prediction strategies in a concrete way - Invaluable, especially to researchers who may be just beginning.

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Über die Autorin bzw. den Autor

Neil Gershenfeld is the Director of MIT's Center for Bits and Atoms, and the former director of its famed Media Lab. The author of numerous technical publications, patents, and books, including When Things Start to Think, he has been featured in media such as the New York Times, The Economist, CNN, and PBS. He lives in Somerville, Massachusetts.

Von der hinteren Coverseite

This volume addresses these shortcomings by presenting the results of a careful comparison of different methods for time series prediction and characterization.

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Weitere beliebte Ausgaben desselben Titels

9780367095055: Time Series Prediction: Forecasting The Future And Understanding The Past (Proceedings Volume, Santa Fe Institute Studies in the Sciences of Complexity)

Vorgestellte Ausgabe

ISBN 10:  036709505X ISBN 13:  9780367095055
Verlag: Routledge, 2019
Hardcover