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» Modelling series of studies with a common structure
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JMLR
2010
194views more  JMLR 2010»
13 years 5 days 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
WSC
2004
13 years 6 months ago
An Experimental Study on Forecasting Using TES Processes
Forecasting is of prime importance for accuracy in decision making. For data sets containing high autocorrelations, failure to account for temporal dependence will result in poor ...
Abdullah S. Karaman, Tayfur Altiok
CHI
2006
ACM
14 years 5 months ago
"Sketching" nurturing creativity: commonalities in art, design, engineering and research
icians or philosophers use abstract symbols to derive formulas or form proofs. Indeed, these sketches are structural geometric proofs, consistent with Plato's supposition that...
Kumiyo Nakakoji, Atau Tanaka, Daniel Fallman
INFOCOM
2009
IEEE
14 years 1 days ago
Measuring Complexity and Predictability in Networks with Multiscale Entropy Analysis
—We propose to use multiscale entropy analysis in characterisation of network traffic and spectrum usage. We show that with such analysis one can quantify complexity and predict...
Janne Riihijärvi, Matthias Wellens, Petri M&a...
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
13 years 10 months ago
Estimating the number of segments in time series data using permutation tests
Segmentation is a popular technique for discovering structure in time series data. We address the largely open problem of estimating the number of segments that can be reliably di...
Kari Vasko, Hannu Toivonen