Dangers and uses of cross-correlation in analyzing time series in perception, performance, movement, and neuroscience: The importance of constructing transfer function autoregressive models

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Dangers and uses of cross-correlation in analyzing time series in perception, performance, movement, and neuroscience: The importance of constructing transfer function autoregressive models

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Dangers and uses of cross-correlation in analyzing time series in perception, performance, movement, and neuroscience: The importance of constructing transfer function autoregressive models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Dangers and uses of cross-correlation in analyzing time series in perception, performance, movement, and neuroscience: The importance of constructing transfer function autoregressive models. Retrieved May 24, 2026, from https://4ort.xyz/entity/dangers-and-uses-of-cross-correlation-in-analyzing-time-series-in-perception-performance-movement-and-neuroscience-the-i
MLA “Dangers and uses of cross-correlation in analyzing time series in perception, performance, movement, and neuroscience: The importance of constructing transfer function autoregressive models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dangers-and-uses-of-cross-correlation-in-analyzing-time-series-in-perception-performance-movement-and-neuroscience-the-i.
BibTeX @misc{4ortxyz_dangers-and-uses-of-cross-correlation-in-analyzing-time-series-in-perception-performance-movement-and-neuroscience-the-i_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dangers and uses of cross-correlation in analyzing time series in perception, performance, movement, and neuroscience: The importance of constructing transfer function autoregressive models}}, year = {2026}, url = {https://4ort.xyz/entity/dangers-and-uses-of-cross-correlation-in-analyzing-time-series-in-perception-performance-movement-and-neuroscience-the-i}, note = {Accessed: 2026-05-24}}
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