Data-Driven Methods for Modeling and Predicting Multivariate Time Series using Surrogates
Modeling and predicting multivariate time series data has been of prime interest to researchers for many decades. Traditionally, time series prediction models have focused on finding attributes that have consistent correlations with target variable(s). However, diverse surrogate signals, such as New...
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Virginia Tech
2017
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| Online Access: | http://hdl.handle.net/10919/81432 |