In this paper, for load transient identification, the dynamic time warping (DTW) algorithm is adopted for the first time to measure the similarity between the variable-length raw TPW sample and template time-series.
Additionally, an independent set of RSNs' spatial maps, derived from data acquired for the Human Connectome Project (HCP), was used as a common template to extract time series and spatial maps from Multiband and Standard EPI sequence data using the dual regression approach [ 93, 94].
For performance monitoring, the relative entropy is chosen due to its sensitivity to pattern frequencies of characteristic templates in a time series.
To test the behavioral explanation of the day-of-the-week effect, we replicate the weekly mood-score template and regress the time series of daily returns directly on the repeatedly occurring mood-score template.
These include, but are not limited to, templates common among technical analysts, templates generated from other stock prices or stock market indices, templates generated from the earlier observations of the time series, and templates such as momentum that are more consistent with traditional research in finance.
In this paper, we provide evidence that the identification of a hyperplane using a GA is quite suitable for this task, allowing for the identification of user-defined gene expression time series templates in a large set of profiles.
ApEn [3] and Sample Entropy (SampEn) [5] are approximations of Kolmogorov-Sinai entropy and calculate the likelihood that a template pattern repeats in the time series.
Using IL17A as a template profile, we generated two time series (2nd and 3rd replicate) with a similar behavior and third one (the first replicate) which is a delayed version of the two, i.e. the timepoint 72 h corresponds to 48 h.
The functional time series underwent slice timing correction, spatial smoothing, global intensity scaling, and normalization to a standardized brain template.
First, we use a dummy variable model to study the day-of-the-week effect; next, we regress the time series of returns on the mood template.
Annotare provides a set of standard templates, covering common species and experimental designs (i.e. a time series).
