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Fluid Correlation: A Novel Nonparametric Metric to Assess the Dynamic Association

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Year: 2025
Type: article
Source: Journal of Computational and Graphical Statistics
DOI: 10.1080/10618600.2024.2444373
Authors: Yongkai Chen, Shushan Wu, Ping Ma, Wenxuan Zhong
Institution: University of Georgia
Language: English

Topic: Statistical Methods and Inference
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, National Institutes of Health, National Institute of General Medical Sciences
Awards: AMPS: Scalable Graph Models for Anomaly Detection in Large-Scale Smart Grids, ATD: Quantum algorithms for spatiotemporal models with applications to threat detection, Novel Analytical and Computational Approaches for Fusion and Analysis of Multi-Level and Multi-Scale Networks Data, Collaborative Research: Novel Statistical Tools for Metagenomics and Metabolomics Data, ATD: Inductive Spatiotemporal Graph Encoding for Interpretable and Transferable Deep Learning with Application in Human Dynamics, ATD: Nonparametric Testing and Fast Computing Methods for Spatiotemporal Models with Applications to Threat Detection, Collaborative Research: DMS/NIGMS 2: Novel machine-learning framework for AFMscanner in DNA-protein interaction detection
OpenAlex ID: W4406009986
FWCI:
Cites: 39
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Related to: 10
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