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Markov Chains and Kinetic Theory: A Possible Application to Socio-Economic Problems. (2024). Menale, Marco ; Carbonaro, Bruno.
In: Mathematics.
RePEc:gam:jmathe:v:12:y:2024:i:10:p:1571-:d:1396975.

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  1. Modeling resilience and survivability as stochastic processes with techno-human-economic systems under stress. (2025). Burek, Jasmina ; Claudio, David ; Martnez, Kenneth.
    In: Journal of Computational Social Science.
    RePEc:spr:jcsosc:v:8:y:2025:i:1:d:10.1007_s42001-024-00328-w.

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  2. Kinetic Theory and Markov Chains with Stochastically Varying Transition Matrices. (2025). Menale, Marco ; Carbonaro, Bruno.
    In: Mathematics.
    RePEc:gam:jmathe:v:13:y:2025:i:12:p:1994-:d:1680661.

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References

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  8. Benaim, M.; Hurth, T. Markov Chains on Metric Spaces: A Short Course; Springer Nature: New York, NY, USA, 2022. Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
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  14. Carbonaro, B.; Menale, M. A nonconservative kinetic framework under the action of an external force field: Theoretical results with application inspired to ecology. Eur. J. Appl. Math. 2023, 34, 1170–1186. [CrossRef]
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  16. Carbonaro, B.; Vitale, F. Some Remarks on Vector Markov Chains and Their Applications to the Description of Many-Particle Systems. In Stochastic Processes—Theoretical Advances and Applications in Complex Systems; Kulasiri, D., Ed.; IntechOpen: Rijeka, Croatia, 2024.
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  17. Chinesta, F.; Abisset-Chavanne, E. A Journey around the Different Scales Involved in the Description of Matter and Complex Systems: A Brief Overview with Special Emphasis on Kinetic Theory Approaches; Springer: New York, NY, USA, 2017.
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  18. Dimarco, G.; Pareschi, L.; Toscani, G.; Zanella, M. Wealth distribution under the spread of infectious diseases. Phys. Rev. E 2020, 102, 022303. [CrossRef] [PubMed] Mathematics 2024, 12, 1571 14 of 14

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  27. Sajid, Z.; Khan, F.; Zhang, Y. Integration of interpretive structural modelling with Bayesian network for biodiesel performance analysis. Renew. Energy 2017, 107, 194–203. [CrossRef]

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Cocites

Documents in RePEc which have cited the same bibliography

  1. Kinetic Theory and Markov Chains with Stochastically Varying Transition Matrices. (2025). Menale, Marco ; Carbonaro, Bruno.
    In: Mathematics.
    RePEc:gam:jmathe:v:13:y:2025:i:12:p:1994-:d:1680661.

    Full description at Econpapers || Download paper

  2. Dynamic Bayesian Network Model for Overhead Power Lines Affected by Hurricanes. (2025). Fatima, Kehkashan ; Shareef, Hussain.
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    RePEc:gam:jforec:v:7:y:2025:i:1:p:11-:d:1606235.

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  3. Twenty-five years of random asset exchange modeling. (2024). Gao, Oliver H ; Greenberg, Max.
    In: The European Physical Journal B: Condensed Matter and Complex Systems.
    RePEc:spr:eurphb:v:97:y:2024:i:6:d:10.1140_epjb_s10051-024-00695-3.

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  4. Markov Chains and Kinetic Theory: A Possible Application to Socio-Economic Problems. (2024). Menale, Marco ; Carbonaro, Bruno.
    In: Mathematics.
    RePEc:gam:jmathe:v:12:y:2024:i:10:p:1571-:d:1396975.

    Full description at Econpapers || Download paper

  5. Dynamic Bayesian network model to study under-deposit corrosion. (2023). Sajid, Zaman ; Zhang, Yahui ; Dao, Uyen ; Khan, Faisal.
    In: Reliability Engineering and System Safety.
    RePEc:eee:reensy:v:237:y:2023:i:c:s0951832023002843.

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  6. Joint Distribution Promotion by Interactive Factor Analysis using an Interpretive Structural Modeling Approach. (2022). He, Yandong ; Ma, Panpan ; Zhou, Fuli ; Schiavone, Francesco.
    In: SAGE Open.
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  7. Sustainable Development of Foodservices under Uncertainty. (2021). Abdollahzadeh, Sohrab.
    In: Sustainability.
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  8. SmartISM: Implementation and Assessment of Interpretive Structural Modeling. (2021). Ahmad, Naim ; Qahmash, Ayman.
    In: Sustainability.
    RePEc:gam:jsusta:v:13:y:2021:i:16:p:8801-:d:609643.

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  9. Historical Analysis of the Role of Governance Systems in the Sustainable Development of Biofuels in Brazil and the United States of America (USA). (2021). Sajid, Zaman ; Danial, Syed Nasir ; Batista, Maria Aparecida.
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  10. A dynamic risk assessment model to assess the impact of the coronavirus (COVID-19) on the sustainability of the biomass supply chain: A case study of a U.S. biofuel industry. (2021). Sajid, Zaman.
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  11. Operational failure analysis of high-speed electric multiple units: A Bayesian network-K2 algorithm-expectation maximization approach. (2021). Zhang, Yue ; Kou, Xingyi ; Huang, Wencheng ; Xiao, Wei ; Mi, Rongwei ; Yin, Dezhi ; Liu, Zhanru.
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  12. Railway dangerous goods transportation system risk analysis: An Interpretive Structural Modeling and Bayesian Network combining approach. (2020). Zhang, Yue ; Kou, Xingyi ; Huang, Wencheng ; Mi, Rongwei ; Li, Linqing ; Yin, Dezhi.
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  13. What affects the development of renewable energy power generation projects in China: ISM analysis. (2019). Zhao, Zhen-Yu ; Chen, Yu-Long ; Li, Heng.
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  14. Financial Modelling Strategies for Social Life Cycle Assessment: A Project Appraisal of Biodiesel Production and Sustainability in Newfoundland and Labrador, Canada. (2018). Sajid, Zaman ; Lynch, Nicholas.
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  15. A Stochastic Approach to Energy Policy and Management: A Case Study of the Pakistan Energy Crisis. (2018). Sajid, Zaman ; Javaid, Asma.
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  16. A novel process economics risk model applied to biodiesel production system. (2018). Sajid, Zaman ; Zhang, Yan ; Khan, Faisal.
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