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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Yang-Xin Huang

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Jul 2026

Quantile-adaptive distributional Granger causal model for high-dimensional time series

A quantile-adaptive distributional Granger causal model (QA-DGCM) is developed to infer non-causal paths via an m-stage hypothesis testings based on distributional Granger causal effect (DGCE) statistic, which yields unique neurobiological insights advancing whole-brain effective connectivity analysis.

Zihao Yuan, Jia-Qing Chen, Han Qiu et al. · 0 citations

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