Author

Shigeki Kishi

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Open access Oct 2026

Forward time-series causal inference based on forest weights and conditional dependence

Unveiling directional causality in complex, high-dimensional dynamical systems remains a fundamental challenge. Conventional nonparametric approaches, such as Convergent Cross Mapping, require computationally intensive surrogate tests and frequently yield false-positive detections under strong coupling due to generaliz...

Shigeki Kishi · bioRxiv · 0 citations

Open access Sep 2026

Forest-weighted non-linear causal inference for high-dimensional and multimodal time series

Forecasting and causal inference in complex, non-linear dynamical systems are fundamentally challenging due to noisy and high-dimensional time-series data. While Empirical Dynamic Modeling addresses this via state-space reconstruction in Euclidean space, it suffers from the “curse of dimensionality,” distorting distanc...

Shigeki Kishi · bioRxiv · 0 citations