A non-parametric model: free analysis of actigraphic recordings of acute insomnia patients.

ABSTRACT: Both parametric and non-parametric approaches to time-series analysis have advantages and drawbacks. Parametric methods, although powerful and widely used, can yield inconsistent results due to the oversimplification of the observed phenomena. They require the setting of arbitrary constants for their creation and refinement, and, although these constants relate to assumptions about the observed systems, it can lead to erroneous results when treating a very complex problem with a sizable list of unknowns. Their non-parametric counterparts, instead, are more widely applicable but present a higher detrimental sensitivity to noise and low density in the data. For the case of approximately periodic phenomena, such as human actigraphic time series, parametric methods are widely used and concepts

SUBMITTER: Marin-Garcia A 

PROVIDER: S-EPMC8808102 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature