“…SSA is a technique of time series analysis and forecasting combining elements of classical time series analysis, multivariate statistics, multivariate geometry, dynamical systems and signal processing. …”
Enlace del recurso
Enlace del recurso

“…Time series analysis and modelling represent a large study field, implying the approach from the perspective of the time and frequency, with applications in different domains. …”
Enlace del recurso
Enlace del recurso

“…It discusses topics in time series analysis and forecasting, advanced methods and online learning in time series, high-dimensional and complex/big data time series as well as forecasting in real problems. …”
Enlace del recurso
Enlace del recurso

“…It discusses topics in time series analysis and forecasting, including advanced mathematical methodology, computational intelligence methods for time series, dimensionality reduction and similarity measures, econometric models, energy time series forecasting, forecasting in real problems, online learning in time series as well as high-dimensional and complex/big data time series. …”
Enlace del recurso
Enlace del recurso

“…This paper demonstrates how to disentangle the impacts of the swine flu on tourism in Brunei, which overlaps with the continued effects of the 2008 global financial crisis that occurred earlier using the auto regressive integrated moving average and intervention time series analysis methods. Estimating the impacts of the swine flu for the first 12 months' post-swine flu period, we have predicted the number of tourists by fitting two auto regressive integrated moving average models: one for the swine flu and another for the global financial crisis which occurred and affected the number of tourist arrivals; and one intervention time series analysis model. …”
Enlace del recurso
Enlace del recurso

“…RNfuzzyApp is an intuitive, easy to use and interactive R shiny app for RNA-seq differential expression and time-series analysis, offering a rich selection of interactive plots, providing a quick overview of raw data and generating rapid analysis results. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We first conducted time-series analysis of mono- and dinucleotide composition for over 10,000 SARS-CoV-2 genomes, as well as over 1500 Zaire ebolavirus genomes, and found clear time-series changes in the compositions on a monthly basis, which should reflect viral adaptations for efficient growth in human cells. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Taking AA amyloidosis as an example of a life-threatening rare disorder resulting from of uncontrolled chronic inflammation, we propose techniques from time series analysis to predict organ response to treatment. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…The results of the time series analysis were validated under field conditions in 2019 by field manipulation experiments. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…The time-series analysis was stratified by age groups while a secondary analysis examined geographic distribution of hepatitis A cases. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Segmented regression interrupted time series analysis to estimate impact of the IRIS intervention over a 53-month period. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…ed skepticism about the capability of nonparametric methods in time series analysis. As - thusiastic explorers of the modern nonparametric toolkit, we feel obliged to assemble together in one place the newly developed relevant techniques. …”
Enlace del recurso
Enlace del recurso

“…In total, 3,755 scorpion sting files from the Dezful health centers were monitored from April 2007 to September 2011 in a time series analysis. The results showed that temperature had significant effects on scorpion sting. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…In particular, since a significant portion of the IoT data is sequential time series data, such as sensor data, time series analysis techniques are required. Therefore, IoT modeling languages and tools are expected to support DAML methods, including time series analysis techniques, out of the box. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…This approach applies specific methods of time series analysis and, consequently, it requires a continuous and fine-meshed assessment of the processes under consideration. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Experimental results show that this method could better compensate the prediction model of multivariate time series analysis which is an effective way to improve the description accuracy of algae growth and prediction precision of water blooms.…”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Spatial autocorrelation modeling proceeded from the 1-dimension autocorrelation of time series analysis, with time lag replaced by spatial weights so that the autocorrelation functions degenerated to autocorrelation coefficients. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…For the interrupted time-series analysis we will only use fully anonymised data. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso