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£105.94
Springer Modeling and Stochastic Learning for Forecasting 217
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Description
Key Features
Covers advanced theoretical understanding required for modern forecasting applications.
Focuses on time series prediction and high-dimensional data modeling.
Based on proceedings from the international Workshop on Industry Practices for Forecasting.
Provides insights into practical industry applications for forecasting models.
Part of the respected Lecture Notes in Statistics series, volume 217.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 3319187317
- Domain
- Amazon UK
- Release Date
- 25 June 2015
- Listed Since
- 02 April 2015
Barcode
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