29 search results - page 5 / 6 » Granger Causality Analysis in Irregular Time Series |
BMCBI
2010
14 years 9 months ago
2010
Background: Time-course microarray experiments can produce useful data which can help in understanding the underlying dynamics of the system. Clustering is an important stage in m...
NCA
2002
IEEE
14 years 9 months ago
2002
IEEE
One of the key problems in forming a smooth model from input-output data is the determination of which input variables are relevant in predicting a given output. In this paper we ...
ESANN
2006
14 years 11 months ago
2006
Usually time series prediction is done with regularly sampled data. In practice, however, the data available may be irregularly sampled. In this case the conventional prediction me...
100
click to vote
BMCBI
2007
14 years 9 months ago
2007
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
ICVS
1999
Springer
15 years 1 months ago
1999
Springer
We propose Action-Reaction Learning as an approach for analyzing and synthesizing human behaviour. This paradigm uncovers causal mappings between past and future events or between...