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May 16, 2026Wiley Interdisciplinary Reviews Computational Statistics

A Comprehensive Review of Functional Graphical Models

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Authors

YZYao ZhaoKLKuang‐Yao Lee

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Overview

This review outlines developments in functional graphical models, highlighting applications and future research directions.

Key Points

  • The aim is to provide an overview of functional graphical models and their theoretical and practical applications.
  • Summarized key theoretical foundations of functional graphical models.
  • Reviewed estimation methods and challenges related to infinite dimensionality and non-Gaussian behavior.
  • Discussed applications in diverse fields such as brain connectivity and microbiome studies.
  • Illustrated the versatility of functional graphical models in various applications.
  • Identified computational challenges, including operator non-invertibility and dimension reduction.
  • Highlighted open research directions focusing on dynamic networks and methodological extensions.

Cite This Study

Zhao et al. (2026) studied this question.

synapsesocial.com/papers/6a080af2a487c87a6a40cf80https://doi.org/10.1002/wics.70067
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