A01=Andreas S. Weigend
A01=Neil A. Gershenfeld
advanced time series analysis techniques
ARMA Model
Author_Andreas S. Weigend
Author_Neil A. Gershenfeld
Category=PBT
chaos theory
computational modeling
Correlation Integrals
Data Set
Data Sets
Delay Coordinates
Embedding Dimension
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Global Linear Model
Hidden Units
Iterated Prediction
Linear Modeling
Local Linear Model
Lorenz Equations
Low Dimensional Chaos
Mars Algorithm
Mars Model
Multivariate Adaptive Regression Splines
nonlinear dynamics
Out-of Sample Error
Phase Portrait
Physiological Time Series
Poincare Map
predictive analytics
signal processing methods
State Space Reconstruction
statistical forecasting
Surrogate Data
Time Delay Embedding
Time Series
Time Series Prediction
Product details
- ISBN 9780201626025
- Weight: 1230g
- Dimensions: 152 x 229mm
- Publication Date: 01 Dec 1993
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Paperback
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The book is a summary of a time series forecasting competition that was held a number of years ago. It aims to provide a snapshot of the range of new techniques that are used to study time series, both as a reference for experts and as a guide for novices.
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.
