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From temporal data to dynamic causal models

From temporal data to dynamic causal models

We present a brief review of dynamic causal model inference from data. A vector autoregressive models is of our prime interest. The architecture, representation and schemes of measurement of temporal data and time series data are outlined. We argue that require- ment to data characteristics should c...

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Bibliographic Details
Main Author: Balabanov, O.S.
Format: Article
Language:Ukrainian
Published: Інститут програмних систем НАН України 2023
Subjects:
causal model
dynamic process
time series
conditional independence
Granger causality
causal relationship
UDC 004.048:519.7
Online Access:https://pp.isofts.kiev.ua/index.php/ojs1/article/view/520
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https://pp.isofts.kiev.ua/index.php/ojs1/article/view/520

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