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Nonlinear extensions of linear inverse models under memoryless or persistent random forcing

Justin Lien*

Hiroyasu Ando

  • Mathematical Institute, Tohoku University, 2 Chome-1-1 Katahira, Aoba Ward, Sendai, Miyagi 980-8577, Japan

  • Advanced Institute for Materials Research, Tohoku University, 2 Chome-1-1 Katahira, Aoba Ward, Sendai, Miyagi 980-8577, Japan and Mathematical Institute, Tohoku University, 2 Chome-1-1 Katahira, Aoba Ward, Sendai, Miyagi 980-8577, Japan

  • *Contact author: lien.justin.t8@dc.tohoku.ac.jp

Moment-based approach to cyclostationary nonlinear inverse modeling under persistent noise forcing

Justin Lien, Hiroyasu Ando, Yong-Yub Kim, and Ingo Richter

Phys. Rev. Research 8 023178 (2026)

Probing forced responses and causality in data-driven climate emulators: Conceptual limitations and the role of reduced-order models

Fabrizio Falasca

Phys. Rev. Research 7 043314 (2025)

Linear-inverse-modeling approach to estimating Liang-Kleeman information flow in a cyclostationary process under memoryless and persistent noise

Justin Lien, Hiroyasu Ando, Yong-Yub Kim, and Tomoki Tozuka

Phys. Rev. E 112 054101 (2025)

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