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...
Gespeichert in:
Datum: | 2023 |
---|---|
1. Verfasser: | Balabanov, O.S. |
Format: | Artikel |
Sprache: | Ukrainian |
Veröffentlicht: |
Інститут програмних систем НАН України
2023
|
Schlagworte: | |
Online Zugang: | https://pp.isofts.kiev.ua/index.php/ojs1/article/view/520 |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Назва журналу: | Problems in programming |
Institution
Problems in programmingÄhnliche Einträge
-
Knowledge discovery in data and causal models in analytical informatics
von: Balabanov, O.S.
Veröffentlicht: (2018) -
Causal inference from data. On some inadequacy problems of structures with hidden causes
von: Balabanov, O.S.
Veröffentlicht: (2020) -
On the classes of causal networks, identifiable by simple independence tests
von: Balabanov, O.S.
Veröffentlicht: (2018) -
Big Data Analytics: principles, trends and tasks (a survey)
von: Balabanov, O.S.
Veröffentlicht: (2019) -
Multi-threaded computer calculations in the considered nonlinear dynamic systems
von: Lazarenko, S.V., et al.
Veröffentlicht: (2025)