KSL-92-51 + redirect page
Dynamic Network Models for Forecasting + Has identifier
Dynamic Network Models for Forecasting + Ksl tr id
Dynamic Network Models for Forecasting + Number
| Dynamic Network Models for Forecasting |
Bibtype
techreport
Has publishing details
1992
Has title
Dynamic Network Models for Forecasting
Has where published
KSL-92-51
Has year
1992
Title
Dynamic Network Models for Forecasting
Year
1992
Abstract
We have developed a probabilistic forecast … We have developed a probabilistic forecasting methodology through a synthesis of belief-network models and classical time-series analysis. We present the dynamic network model (DNM) and describe methods for constructing, refining, and performing inference with this representation of temporal probabilistic knowledge. The DNM representation extends static belief-network models to more general dynamic forecasting models by integrating and iteratively refining contemporaneous and time-lagged dependencies. We discuss key concepts in terms of a model for forecasting U.S. car sales in Japan. l for forecasting U.S. car sales in Japan.
Address
Stanford, CA +
Author
Paul Dagum and Adam Galper and Eric Horvitz +
Has author
Paul Dagum and Adam Galper and Eric Horvitz +
Has identifier
Dynamic Network Models for Forecasting +
Institution
Knowledge Systems, AI Laboratory +
Ksl tr id
Dynamic Network Models for Forecasting +
Number
Dynamic Network Models for Forecasting +
Process note
YES +
Categories KSL Technical Report +, Publication +, Technical Report +
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