Time Series Prediction: Forecasting The Future And Understanding The Past (Santa Fe Institute Series) [Paperback]

Andreas S. Weigend (Author), Neil A. Gershenfeld (Editor)

Editorial Reviews

About the Author

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.

Product Details

• Paperback: 672 pages
• Publisher: Westview Press (November 20, 1993)
• Language: English
• ISBN-10: 0201626020
• ISBN-13: 978-0201626025
• Product Dimensions: 9.1 x 6.4 x 1 inches
• Shipping Weight: 2 pounds (View shipping rates and policies)
• Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #1,407,323 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

8 of 8 people found the following review helpful:

5.0 out of 5 stars Excellent book in case studies, November 29, 2007

By 

D. Hundley (Walla Walla, WA United States) - See all my reviews
(REAL NAME)   

This review is from: Time Series Prediction: Forecasting The Future And Understanding The Past (Santa Fe Institute Series) (Paperback)

I am suprised that no one has reviewed this book- I have found it very useful to have on my bookshelf. The book is a summary of a time series forecasting competition that was held a few 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 is 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.

FYI- I think the data is available on the world wide web, so it is possible to perform the analysis that is described in the book.