Results 31 to 40 of about 18,233,102 (295)
Monitoring multivariate time series
Journal of Multivariate Analysis, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
DTMamba : Dual Twin Mamba for Time Series Forecasting
Tsinghua Science and TechnologyLong-term Time Series Forecasting (LTSF) has always been an important task where models need to effectively capture hidden patterns in the time series in order to make accurate predictions about future states.
Zexue Wu +3 more
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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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Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs [PDF]
, 2022 Multivariate time series forecasting has long received significant attention in real-world applications, such as energy consumption and traffic prediction.
Chen, Siheng +11 more
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Nonparametric frequency domain analysis of nonstationary multivariate time series [PDF]
, 2002 We analyse the properties of nonparametric spectral estimates when applied to long memory and trending nonstationary multiple time series. We show that they estimate consistently a generalized or pseudo-spectral density matrix at frequencies both close ...
Velasco Gómez, Carlos +2 more
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Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Model-Free Prediction of Multivariate Time Series
AxiomsThis paper extends a model-free prediction framework from univariate to multivariate time series. We show that, under a mild uniformly bounded first-moment condition, a multivariate time series admits a VARMA-type representation and an associated ...
Hanieh Saeidi, Adel Mohammadpour
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Multivariate time series prediction based on ARCLSTM
Journal of Measurement Science and Instrumentation, 2021 Time series is a kind of data widely used in various fields such as electricity forecasting, exchange rate forecasting, and solar power generation forecasting, and therefore time series prediction is of great significance.
QIAO Gangzhu, SU Rong, ZHANG Hongfei
doaj
Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
Identifying, exploring, and interpreting time series shapes in multivariate time intervals
Visual Informatics, 2023 We introduce a concept of episode referring to a time interval in the development of a dynamic phenomenon that is characterized by multiple time-variant attributes. A data structure representing a single episode is a multivariate time series.
Gota Shirato +2 more
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