ArticleAnnual review of statistics and its application2022
Granger Causality: A Review and Recent Advances.
Article in Annual review of statistics and its application, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
86 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The research progress on effective connectivity in adolescent depression based on resting-state fMRI.Frontiers in neurology · 2025Pooled it
- Psychotherapy for PTSD - a scoping review of how change during treatment has been studied.European journal of psychotraumatology · 2026Article
- Advances in causal discovery methods for ecological time series.Biological reviews of the Cambridge Philosophical Society · 2026Review
- EEG-Based Characterization of Learning Potential-Related Neural Representations via Dynamic Assessment Tasks.Journal of Intelligence · 2026Article
- Functional connectivity networks for transportation delay analysis: From theory to software.Transportation research interdisciplinary perspectives · 2026Article
- Steppe productivity decline contributed to smallpox outbreak and the collapse of the last nomadic empire in the 1750s.Science advances · 2026Article
- Dynamic Bayesian networks for neural information flow: evaluation of continuous and discrete scoring metrics.Journal of computational neuroscience · 2026Article
- Causality analysis of toxicological mechanisms in networked systems such as adverse outcome pathway networks.Archives of toxicology · 2026Review
- Remoteness sensitive theta network dynamics during early autobiographical memory access.Scientific reports · 2026Article
- Decoding the causal drivers of spatial cellular topology.iScience · 2026Article
- Interpersonal Synchronization of Autonomic Physiology via Mere Visual Contact.Annals of the New York Academy of Sciences · 2026Article
- Impact of Indoor Environmental Quality on Student Behavior: A Case Study Using AI-Powered Computer Vision.Scientific reports · 2026Article
- Metric validation for detection of delayed and directed coupling.Journal of neural engineering · 2026Article
- From association to causation: a decision-aware framework for reproducible biomarker discovery and precision intervention design in the human gut microbiome.Briefings in bioinformatics · 2026Article
- Interpretation, extrapolation and perturbation of single cells.Nature reviews. Genetics · 2026Review
- A Deep Spatio-Temporal Architecture for Dynamic ECN Analysis with Granger Causality based Causal Discovery.Pattern recognition · 2026Article
- Multivariate Timing and Granger Causality Analysis of Spontaneous Facial Mimicry in Response to Android Dynamic Facial Expressions.Sensors (Basel, Switzerland) · 2026Article
- Exploring the Cognitive and Behavioral Risks and Maintenance Factors of Hikikomori: Protocol for an Ecological Momentary Assessment Study.JMIR research protocols · 2026Article
- Network analysis of longitudinal electronic health records using linear mixed models.BioData mining · 2026Article
- Dynamic brain synergy uncovers functional neural coordination in Parkinson's disease under dopaminergic modulation.Journal of neuroengineering and rehabilitation · 2026Article
26 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Introduced more than a half-century ago, Granger causality has become a popular tool for analyzing time series data in many application domains, from economics and finance to genomics and neuroscience. Despite this popularity, the validity of this framework for inferring causal relationships among time series has remained the topic of continuous debate. Moreover, while the original definition was general, limitations in computational tools have constrained the applications of Granger causality to primarily simple bivariate vector autoregressive processes. Starting with a review of early developments and debates, this article discusses recent advances that address various shortcomings of the earlier approaches, from models for high-dimensional time series to more recent developments that account for nonlinear and non-Gaussian observations and allow for subsampled and mixed-frequency time series.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.