Items related to Predicting The Future And Understanding The Past (SANTA...
Predicting The Future And Understanding The Past (SANTA FE INSTITUTE STUDIES IN THE SCIENCES OF COMPLEXITY PROCEEDINGS) - Softcover
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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From the Author:
Contact information for A S Weigend
I am now teaching at NYU's Stern School of Business. A major research interest of mine is still in time series analysis and prediction, as well as applications of data mining to finance.
About the Author:
I am now teaching at NYU's Stern School of Business. A major research interest of mine is still in time series analysis and prediction, as well as applications of data mining to finance.
Neil Gershenfeld is the Director of MIT's centre 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.
"About this title" may belong to another edition of this title.
- PublisherRoutledge
- Publication date1993
- ISBN 10 0201626012
- ISBN 13 9780201626018
- BindingPaperback
- Edition number1
- Number of pages643
- Rating
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