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

Mathematical Institute, Tohoku University, Sendai, Japan

Advanced Institute for Materials Research, Tohoku University, Sendai, Japan and Mathematical Institute, Tohoku University, Sendai, Japan

Center for Climate Physics, Institute for Basic Science, Busan, Republic of Korea and Pusan National University, Busan, Republic of Korea

Department of Earth and Planetary Science, The University of Tokyo, Tokyo, 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)

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ISSN 2470-0053 (online), 2470-0045 (print).

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