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Motoh Tsujimura

math.OCcs.SYeess.SYcs.NAmath.NAmath.PRcs.CE34B1035D4065M06

On Valency

published · living versions
W_tmvjta3d·v1 · currentpublished
A superprocess model for eDNA transport in random river environment
with Hidekazu Yoshioka, Ayumi Hashiguchi
1 version

Preprints & journals

17 papers in the corpus · 2020–2026
Distributionally robust decision-making under ambiguity: case study of water environmental management2606.16565v1 · Hidekazu Yoshioka, Motoh Tsujimura, Yumi Yoshioka et al.2026 · 0 citationsarXiv
Mathematical model for sustainable fisheries resource management accounting for size spectrum2602.07511v3 · Hidekazu Yoshioka, Yumi Yoshioka, Motoh Tsujimura et al.2026 · 0 citationsarXiv
Non-exchangeable evolutionary and mean field games and their applications2506.02644v3 · H. Yoshioka, M. Tsujimura, T. Tanaka2025 · 0 citationsarXiv
Fishery resources management2410.05688v1 · Hidekazu Yoshioka, Motoh Tsujimura, Yumi Yoshioka2024 · 0 citationsarXiv
Environmental management and restoration under unified risk and uncertainty using robustified dynamic Orlicz risk2306.01998v2 · Hidekazu Yoshioka, Motoh Tsujimura, Futoshi Aranishi et al.2023 · 4 citationsarXiv
Analytical and numerical solutions to ergodic control problems arising in environmental management2012.14087v2 · Hidekazu Yoshioka, Motoh Tsujimura, Yuta Yaegashi2020 · 8 citationsarXiv
Stochastic control of single-species population dynamics model subject to jump ambiguity.32845218 · Yoshioka, Hidekazu, Tsujimura, Motoh2021 · 6 citationsJournal of biological dynamics. 2020;14(1):696-729
HJB and Fokker-Planck equations for river environmental management based on stochastic impulse control with discrete and random observation2009.00184v2 · H. Yoshioka, M. Tsujimura, K. Hamagami et al.2020 · 11 citationsComputers & Mathematics with Applications, 2021
A random observation-based management model of population dynamics and its ecological application2004.04844v1 · Hidekazu Yoshioka, Yuta Yaegashi, Motoh Tsujimura2020 · 2 citationsarXiv
Career total: 84 works. 17 are in this corpus.

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