32 search results - page 2 / 7 » On the Stationarity of Multivariate Time Series for Correlat... |
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
CSDA
2007
13 years 4 months ago
2007
Vector autoregressive (VAR) modelling is one of the most popular approaches in multivariate time series analysis. The parameters interpretation is simple, and provide an intuitive...
CSDA
2006
13 years 4 months ago
2006
We explore a periodic analysis in the context of unobserved components time series models that decompose time series into components of interest such as trend, seasonal and irregu...
AAAI
2007
13 years 7 months ago
2007
The problem of locating motifs in real-valued, multivariate time series data involves the discovery of sets of recurring patterns embedded in the time series. Each set is composed...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
— Rapidly evolving businesses generate massive amounts of time-stamped data sequences and defy a demand for massively multivariate time series analysis. For such data the predict...