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Inferring causal relations from multivariate time series : a fast method for large-scale gene expression data [PDF]
, 2009 Various multivariate time series analysis techniques have been developed with the aim of inferring causal relations between time series. Previously, these techniques have proved their effectiveness on economic and neurophysiological data, which normally ...
Yuan, Yinyin +3 more
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Detecting anomalies in multivariate time series from automotive systems [PDF]
, 2013 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.In the automotive industry test drives are conducted during the development of new vehicle models or as a part of quality assurance for series vehicles ...
Theissler, Andreas
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Outlier detection in multivariate time series via projection pursuit [PDF]
, 2004 This article uses Projection Pursuit methods to develop a procedure for detecting outliers in a multivariate time series. We show that testing for outliers in some projection directions could be more powerful than testing the multivariate series directly.
Peña, Daniel +2 more
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An Analysis of Temporal Features in Multivariate Time Series to Forecast Network Events
Applied Sciences, 2023 Analyzing network traffic over time is crucial for understanding the changes in network activity. To properly examine network traffic patterns over time, multiple network events in each timestamp need to be converted to time series data.
Soo-Yeon Ji +2 more
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Matrix factorization for multivariate time series analysis
Electronic Journal of Statistics, 2019 Matrix factorization is a powerful data analysis tool. It has been used in multivariate time series analysis, leading to the decomposition of the series in a small set of latent factors. However, little is known on the statistical performances of matrix factorization for time series.
Alquier, Pierre, Marie, Nicolas
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Learning short multivariate time series models through evolutionary and sparse matrix computation [PDF]
, 2005 Multivariate time series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is important for many decision making activities.
Liu, X, Kok, J, Swift, S
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Ethanol Prices and Agricultural Commodities: An Investigation of Their Relationship
Mathematics, 2019 Brazil is an important player when it comes to biofuel and agricultural production. The knowledge of the price relationship between these markets has increasing importance. This paper adopts several tools, namely the Bai−Perron test of breakpoints,
Sergio Adriani David +2 more
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Remote SensingVegetation indices are used to analyze vegetation dynamics and primary productivity. However, most studies rely on short time series and peak or integral metrics, which limit the understanding of long-term vegetation dynamics in heterogeneous areas. This
Alejandra Nahiely Espinoza-Coronado +5 more
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Real Estate Management and Valuation, 2021 The socio-economic development of municipalities is defined by a set of indicators in a period of interest and can be analyzed as a multivariate time series. It is important to know which municipalities have similar socio-economic development trends when
Gružauskas Valentas +3 more
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Dynamic staged trees for discrete multivariate time series : forecasting, model selection and causal analysis [PDF]
, 2010 A new tree-based graphical model — the dynamic staged tree — is used to model discrete-valued discrete-time multivariate processes which are hypothesised to exhibit certain symmetries concerning how situations might unfold.
Smith, JQ +5 more
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