“…Existing studies lack detailed description of the response of vegetation to different climatic factors using the method of multiple nested time series analysis and the method of grey correlation analysis. …”
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“…Time series analysis comprises a wide repertoire of methods for extracting information from data sets. …”
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“…Time series appear in many scientific fields and are an important type of data. The use of time series analysis techniques is an essential means of discovering the knowledge hidden in this type of data. …”
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“…CONCLUSIONS: This work has a potentially large impact, as it enables classification of EEG data based on multivariate time series analysis in an interpretable way with high accuracy. …”
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“…The presented developments and applications cover different areas, including filtering, signal analysis for damage detection, time series analysis, solutions to boundary value problems and fractional calculus. …”
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“…We use regression algorithms and time series analysis to find the optimal number of replicas for datasets that are kept on disk. …”
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“…Comparative analyses were performed based on age groups (<18, 19–54, 55–64, and ≥65 years), gender, severity of injuries, and height of fall. Time series analysis of fall-related injuries was performed. …”
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“…An interrupted time series analysis found no significant change in mortality rates in the Greater Toronto Area associated with the period of the SARS outbreak. …”
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“…The Interrupted Time Series Analysis detected a significant difference in recruitment after the intervention of social media (p<0.0001) with an evident increase in the number of recruits observed after the use of social media. …”
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“…In this paper, we present a Bayesian approach that can tackle this problem within the framework of time series analysis. METHODS: We used Dirichlet process mixture models to cluster time points with similar multipollutant and response profiles, while adjusting for seasonal cycles, trends and temporal components. …”
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“…The detection performance had the greatest accuracy when using ballistic MRCP with time-series analysis. In this case, the true positive rate (TPR) was ~70% for a detection latency of ~200 ms. …”
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“…Motivation: To understand the dynamic nature of the biological process, it is crucial to identify perturbed pathways in an altered environment and also to infer regulators that trigger the response. Current time-series analysis methods, however, are not powerful enough to identify perturbed pathways and regulators simultaneously. …”
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“…In business and finance, it is well known that adjustments for cycles of the year are essential to accurate prediction of time-series data (Box and Jenkins, 1970); in a similar way, methods for identifying and using regular clock cycles offer large new opportunities in neural time-series analysis. This paper demonstrates a few initial footprints on the large “continent” of this type of neural time-series analysis, and discusses a few of the many further possibilities opened up by this new approach to “decoding” the neural code (Heller et al., 1995).…”
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“…Here, we used a seasonal-trend decomposition method to conduct a time series analysis of body weight of Thoroughbred racehorses participating in flat races held by the Japan Racing Association from 1 January 2002 to 31 December 2014. …”
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“…Keywords: Tuberculosis, pulmonary/epidemiology; Tuberculosis, pulmonary/drug therapy; Tuberculosis, pulmonary/mortality; Interrupted time series analysis; Drug resistance, multiple; Drug compounding.…”
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“…To investigate this aspect, the authors examined this relationship by using a logistical regression and a time series analysis of the total cases of drug use and infections. …”
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“…RESEARCH DESIGN: Interrupted time series analysis. SUBJECTS: All persons with schizophrenia in Finland who were alive at the beginning of 2015 (N=41,017). …”
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“…Besides, the interrupted time series analysis indicated that the smart travel ban policy had decreased intercity travel by around 29%. …”
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“…In other words, the proposed time series analysis tool allows policymakers to identify and quantify when mistakes were made during the on-going COVID-19 pandemic. …”
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“…The authors present various statistical models for engineers to solve problems in time series analysis. Readers no doubt will learn state-of-the-art techniques from this book.…”
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