A Framework for Assessing Frequency Domain Causality in Physiological Time Series With Instantaneous Effects

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences - United Kingdom
doi 10.1098/rsta.2011.0618
Full Text
Abstract

Available in full text

Date
Authors
Publisher

The Royal Society

Related search

Frequency Domain Tests for Assessing Dependency Characteristics of Stationary Time Series via Tapering

English

Normalizing the Causality Between Time Series

Physical Review E
2015English

Instantaneous Granger Causality With the Hilbert-Huang Transform

ISRN Signal Processing
2013English

Assessing and Compensating for Zero-Lag Correlation Effects in Time-Lagged Granger Causality Analysis of fMRI

IEEE Transactions on Biomedical Engineering
Biomedical Engineering
2010English

Frequency-Domain Analysis for Nonlinear Systems With Time-Domain Model Parameter Uncertainty

IEEE Transactions on Automatic Control
ControlSystems EngineeringComputer Science ApplicationsElectricalElectronic Engineering
2019English

A Framework for Iterative Frequency Domain EP-based Receiver Design

IEEE Transactions on Communications
Electronic EngineeringElectrical
2018English

ACCBench: A Framework for Comparing Causality Algorithms

Electronic Proceedings in Theoretical Computer Science, EPTCS
Software
2017English

A Time-Frequency Functional Model for Locally Stationary Time Series Data

Journal of Computational and Graphical Statistics
CombinatoricsUncertaintyStatisticsProbabilityDiscrete Mathematics
2009English

A Methodological Framework for Model Selection in Interrupted Time Series Studies

Journal of Clinical Epidemiology
Epidemiology
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy