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CIR bridge for modeling of fish migration on sub-hourly scale

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  • Yoshioka, Hidekazu

Abstract

Bridges, which are stochastic processes with pinned initial and terminal conditions, have recently been applied to various problems. We show that a bridge based on the Cox–Ingersoll–Ross process, called a CIR bridge in this paper, reasonably models the intraday number of migrating fish at an observation point in a river. The studied fish migrates between sunrise and sunset each day, which are considered the initial and terminal times, respectively. The CIR bridge is well-defined as a unique pathwise continuous solution to a stochastic differential equation with unbounded drift and diffusion coefficients and potentially represents the on–off intermittency of the fish count data. Our bridge is theoretically novel in that it admits closed-form time-dependent averages and variances, with which the model parameters can be identified efficiently, and is computable by a recently-developed one-step numerical method. The CIR bridge is applied to the sub-hourly migration data of the diadromous fish Plecoglossus altivelis altivelis in the Nagara River, Japan, from February to June.

Suggested Citation

  • Yoshioka, Hidekazu, 2025. "CIR bridge for modeling of fish migration on sub-hourly scale," Chaos, Solitons & Fractals, Elsevier, vol. 199(P3).
  • Handle: RePEc:eee:chsofr:v:199:y:2025:i:p3:s0960077925008872
    DOI: 10.1016/j.chaos.2025.116874
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    1. Valenti, D. & Tranchina, L. & Brai, M. & Caruso, A. & Cosentino, C. & Spagnolo, B., 2008. "Environmental metal pollution considered as noise: Effects on the spatial distribution of benthic foraminifera in two coastal marine areas of Sicily (Southern Italy)," Ecological Modelling, Elsevier, vol. 213(3), pages 449-462.
    2. Mouri, Goro & Shinoda, Seirou & Oki, Taikan, 2010. "Estimating Plecoglossus altivelis altivelis migration using a mass balance model expressed by hydrological distribution parameters in a major limpid river basin in Japan," Ecological Modelling, Elsevier, vol. 221(23), pages 2808-2815.
    3. Katsumata, Yuki & Uehara, Takashi & Ito, Hiromu & Yoshimura, Jin & Tainaka, Kei-ichi & Ichinose, Genki, 2018. "Density-dependent population model of effective release policy for Ayu fish," Ecological Modelling, Elsevier, vol. 388(C), pages 80-87.
    4. Giuseppe Campolieti & Roman N. Makarov & Karl Wouterloot, 2013. "Pricing Step Options under the CEV and other Solvable Diffusion Models," Papers 1302.3771, arXiv.org.
    5. Jonathan E. Helm & Pengyi Shi & Mary Drewes & Jacob Cecil, 2024. "Delta Coverage: The Analytics Journey to Implement a Novel Nurse Deployment Program," Interfaces, INFORMS, vol. 54(5), pages 431-454, September.
    6. Cox, John C. & Ingersoll Junior, Jonathan E. & Ross, Stephen A., 2007. "A theory of the term structure of interest rates," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 47(2), April.
    7. Martin Glanzer & Georg Ch. Pflug, 2020. "Multiscale stochastic optimization: modeling aspects and scenario generation," Computational Optimization and Applications, Springer, vol. 75(1), pages 1-34, January.
    8. Vygintas Gontis & Aleksejus Kononovicius & Stefan Reimann, 2012. "The Class Of Nonlinear Stochastic Models As A Background For The Bursty Behavior In Financial Markets," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(supp0), pages 1-13.
    9. Florian Hildebrandt & Sylvie Rœlly, 2020. "Pinned Diffusions and Markov Bridges," Journal of Theoretical Probability, Springer, vol. 33(2), pages 906-917, June.
    10. Dorje C. Brody & Lane P. Hughston & Xun Yang, 2022. "On the Pricing of Storable Commodities," World Scientific Book Chapters, in: Dorje Brody & Lane Hughston & Andrea Macrina (ed.), Financial Informatics An Information-Based Approach to Asset Pricing, chapter 17, pages 393-404, World Scientific Publishing Co. Pte. Ltd..
    11. Ashley, Matthew & Murillas, Arantza & Muench, Angela & Marta-Pedroso, Cristina & Rodwell, Lynda & Rees, Sian & Rendle, Emma & Bašić, Tea & Copp, Gordon H. & Díaz, Estibaliz & Nachón, David J. & Lamber, 2023. "An evidence base of ecosystems services provided by diadromous fish in the European Atlantic Area," Ecosystem Services, Elsevier, vol. 64(C).
    12. Eduardo Abi Jaber & Elie Attal, 2025. "Simulating integrated Volterra square-root processes and Volterra Heston models via Inverse Gaussian," Papers 2504.19885, arXiv.org.
    13. Eduardo Abi Jaber, 2024. "Simulation of square-root processes made simple: applications to the Heston model," Post-Print hal-04839193, HAL.
    14. Lee, Hangsuck & Ha, Hongjun & Kong, Byungdoo & Lee, Minha, 2024. "Valuing three-asset barrier options and autocallable products via exit probabilities of Brownian bridge," The North American Journal of Economics and Finance, Elsevier, vol. 73(C).
    15. Rytis Kazakeviv{c}ius & Aleksejus Kononovicius, 2023. "Anomalous diffusion and long-range memory in the scaled voter model," Papers 2301.08088, arXiv.org, revised Feb 2023.
    16. G. Campolieti & R. Makarov & K. Wouterloot, 2013. "Pricing Step Options Under The Cev And Other Solvable Diffusion Models," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 16(05), pages 1-36.
    17. Gontis, V. & Kononovicius, A., 2017. "Burst and inter-burst duration statistics as empirical test of long-range memory in the financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 266-272.
    18. Aurélien Alfonsi, 2015. "Affine Diffusions and Related Processes: Simulation, Theory and Applications," Post-Print hal-03127212, HAL.
    19. Lo, Chi-Fai & Choi, Yeontaek & Nazarenko, Sergey, 2025. "Stochastic heat engine acting like a weakly nonlinear wave ensemble," Chaos, Solitons & Fractals, Elsevier, vol. 191(C).
    20. Mu Niu & Paul G. Blackwell & Anna Skarin, 2016. "Modeling interdependent animal movement in continuous time," Biometrics, The International Biometric Society, vol. 72(2), pages 315-324, June.
    21. Svetlana V. Tishkovskaya & Paul G. Blackwell, 2021. "Bayesian estimation of heterogeneous environments from animal movement data," Environmetrics, John Wiley & Sons, Ltd., vol. 32(6), September.
    22. Yoshioka, Hidekazu, 2025. "Superposition of interacting stochastic processes with memory and its application to migrating fish counts," Chaos, Solitons & Fractals, Elsevier, vol. 192(C).
    23. V. Gontis & A. Kononovicius, 2017. "Burst and inter-burst duration statistics as empirical test of long-range memory in the financial markets," Papers 1701.01255, arXiv.org.
    24. Eliazar, Iddo & Arutkin, Maxence, 2025. "Designing selfsimilar diffusions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 658(C).
    25. Vygintas Gontis & Aleksejus Kononovicius & Stefan Reimann, 2012. "The class of nonlinear stochastic models as a background for the bursty behavior in financial markets," Papers 1201.3083, arXiv.org, revised May 2012.
    26. Naielly Lopes Marques & Carlos de Lamare Bastian-Pinto & Luiz Eduardo Teixeira Brandão, 2021. "Crossing the Brownian Bridge: valuing infrastructure capacity expansion policies as real options," Construction Management and Economics, Taylor & Francis Journals, vol. 39(3), pages 261-276, March.
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