Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384666871> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W4384666871 endingPage "1070" @default.
- W4384666871 startingPage "1070" @default.
- W4384666871 abstract "In this study, we present a thorough comparison of the performance of four different bootstrap methods for assessing the significance of causal analysis in time series data. For this purpose, multivariate simulated data are generated by a linear feedback system. The methods investigated are uncorrelated Phase Randomization Bootstrap (uPRB), which generates surrogate data with no cross-correlation between variables by randomizing the phase in the frequency domain; Time Shift Bootstrap (TSB), which generates surrogate data by randomizing the phase in the time domain; Stationary Bootstrap (SB), which calculates standard errors and constructs confidence regions for weakly dependent stationary observations; and AR-Sieve Bootstrap (ARSB), a resampling method based on AutoRegressive (AR) models that approximates the underlying data-generating process. The uPRB method accurately identifies variable interactions but fails to detect self-feedback in some variables. The TSB method, despite performing worse than uPRB, is unable to detect feedback between certain variables. The SB method gives consistent causality results, although its ability to detect self-feedback decreases, as the mean block width increases. The ARSB method shows superior performance, accurately detecting both self-feedback and causality across all variables. Regarding the analysis of the Impulse Response Function (IRF), only the ARSB method succeeds in detecting both self-feedback and causality in all variables, aligning well with the connectivity diagram. Other methods, however, show considerable variations in detection performance, with some detecting false positives and others only detecting self-feedback." @default.
- W4384666871 created "2023-07-20" @default.
- W4384666871 creator A5029215089 @default.
- W4384666871 creator A5044709042 @default.
- W4384666871 date "2023-07-17" @default.
- W4384666871 modified "2023-09-30" @default.
- W4384666871 title "Comparison of Bootstrap Methods for Estimating Causality in Linear Dynamic Systems: A Review" @default.
- W4384666871 cites W1594370780 @default.
- W4384666871 cites W1976779238 @default.
- W4384666871 cites W1995884203 @default.
- W4384666871 cites W2030441757 @default.
- W4384666871 cites W2041782669 @default.
- W4384666871 cites W2051698797 @default.
- W4384666871 cites W2066400502 @default.
- W4384666871 cites W2076396344 @default.
- W4384666871 cites W2083278075 @default.
- W4384666871 cites W2087502871 @default.
- W4384666871 cites W2098746383 @default.
- W4384666871 cites W2113762408 @default.
- W4384666871 cites W2118753679 @default.
- W4384666871 cites W2156282037 @default.
- W4384666871 cites W2178225550 @default.
- W4384666871 cites W2516327767 @default.
- W4384666871 cites W2904276544 @default.
- W4384666871 cites W3123894773 @default.
- W4384666871 cites W3144154667 @default.
- W4384666871 cites W606996421 @default.
- W4384666871 doi "https://doi.org/10.3390/e25071070" @default.
- W4384666871 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37510017" @default.
- W4384666871 hasPublicationYear "2023" @default.
- W4384666871 type Work @default.
- W4384666871 citedByCount "0" @default.
- W4384666871 crossrefType "journal-article" @default.
- W4384666871 hasAuthorship W4384666871A5029215089 @default.
- W4384666871 hasAuthorship W4384666871A5044709042 @default.
- W4384666871 hasBestOaLocation W43846668711 @default.
- W4384666871 hasConcept C105795698 @default.
- W4384666871 hasConcept C11413529 @default.
- W4384666871 hasConcept C134306372 @default.
- W4384666871 hasConcept C150921843 @default.
- W4384666871 hasConcept C159877910 @default.
- W4384666871 hasConcept C33923547 @default.
- W4384666871 hasConcept C41008148 @default.
- W4384666871 hasConcept C72279823 @default.
- W4384666871 hasConcept C97256817 @default.
- W4384666871 hasConceptScore W4384666871C105795698 @default.
- W4384666871 hasConceptScore W4384666871C11413529 @default.
- W4384666871 hasConceptScore W4384666871C134306372 @default.
- W4384666871 hasConceptScore W4384666871C150921843 @default.
- W4384666871 hasConceptScore W4384666871C159877910 @default.
- W4384666871 hasConceptScore W4384666871C33923547 @default.
- W4384666871 hasConceptScore W4384666871C41008148 @default.
- W4384666871 hasConceptScore W4384666871C72279823 @default.
- W4384666871 hasConceptScore W4384666871C97256817 @default.
- W4384666871 hasIssue "7" @default.
- W4384666871 hasLocation W43846668711 @default.
- W4384666871 hasLocation W43846668712 @default.
- W4384666871 hasLocation W43846668713 @default.
- W4384666871 hasLocation W43846668714 @default.
- W4384666871 hasOpenAccess W4384666871 @default.
- W4384666871 hasPrimaryLocation W43846668711 @default.
- W4384666871 hasRelatedWork W2028868645 @default.
- W4384666871 hasRelatedWork W2038806319 @default.
- W4384666871 hasRelatedWork W2060717965 @default.
- W4384666871 hasRelatedWork W2098093914 @default.
- W4384666871 hasRelatedWork W210717799 @default.
- W4384666871 hasRelatedWork W2146615705 @default.
- W4384666871 hasRelatedWork W2164449956 @default.
- W4384666871 hasRelatedWork W2358305873 @default.
- W4384666871 hasRelatedWork W426878624 @default.
- W4384666871 hasRelatedWork W2119806348 @default.
- W4384666871 hasVolume "25" @default.
- W4384666871 isParatext "false" @default.
- W4384666871 isRetracted "false" @default.
- W4384666871 workType "article" @default.