Time Series Prediction: Forecasting The Future And Understanding The Past - Couverture souple

 
9780201626025: Time Series Prediction: Forecasting The Future And Understanding The Past

Synopsis

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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À propos de l?auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9780367095055: Time Series Prediction: Forecasting the Future and Understanding the Past

Edition présentée

ISBN 10 :  036709505X ISBN 13 :  9780367095055
Editeur : Routledge, 2019
Couverture rigide