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» Gaussian process for nonstationary time series prediction
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TSP
2010
13 years 3 months ago
Detection of spatially correlated Gaussian time series
This work addresses the problem of deciding whether a set of realizations of a vector-valued time series with unknown temporal correlation are spatially correlated or not. For wide...
David Ramírez, Javier Vía, Ignacio S...
ICASSP
2011
IEEE
13 years 11 days ago
Multiple-channel detection of a Gaussian time series over frequency-flat channels
This work addresses the problem of deciding whether a set of realizations of a vector-valued time series with unknown temporal correlation are spatially correlated or not. Speciï¬...
David Ramírez, Javier Vía, Ignacio S...
JMLR
2010
194views more  JMLR 2010»
13 years 3 months ago
Graphical Gaussian modelling of multivariate time series with latent variables
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...
Michael Eichler
BMCBI
2011
13 years 7 days ago
A Simple Approach to Ranking Differentially Expressed Gene Expression Time Courses through Gaussian Process Regression
Background: The analysis of gene expression from time series underpins many biological studies. Two basic forms of analysis recur for data of this type: removing inactive (quiet) ...
Alfredo A. Kalaitzis, Neil D. Lawrence
PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
13 years 7 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas