111 search results - page 1 / 23 » An Exploratory Analysis of Multiple Multivariate Time Series |
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
CORR
2010
Springer
13 years 3 months ago
2010
Springer
This paper proposes a nonparametric Bayesian method for exploratory data analysis and feature construction in continuous time series. Our method focuses on understanding shared fe...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
We propose in this paper an exploratory analysis algorithm for functional data. The method partitions a set of functions into K clusters and represents each cluster by a simple pr...
JMLR
2010
12 years 11 months ago
2010
In time series analysis, inference about causeeffect relationships among multiple times series is commonly based on the concept of Granger causality, which exploits temporal struc...
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...