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Results: 345
Number of items: 345
  • Open Access
    Hazra, R. S., Mandjes, M., & Wang, J. (2025). Parameter estimation in a dynamic Chung-Lu random graph. Physical Review E, 112(1), Article 014315. https://doi.org/10.1103/6w2h-p1sr
  • Open Access
    Kamphuis, R., Mandjes, M., & Serra, P. (2025). Road traffic estimation and algorithmic routing in a spatially dependent network. Scandinavian Journal of Statistics, 52(2), 1058-1091. https://doi.org/10.1111/sjos.12780
  • Inoue, Y., & Mandjes, M. (2025). Characterizing the Age of Information With Multiple Coexisting Data Streams. IEEE Transactions on Information Theory, 71(6), 4732-4753. https://doi.org/10.1109/TIT.2025.3544266
  • Open Access
    de Jonge, E., Pijpers, F. P., & Mandjes, M. (2025). Deriving production chains using restricted gradient extraction. Chaos, 35(5), Article 053158. https://doi.org/10.1063/5.0270180
  • Open Access
    Hurley, E. P. (2025). Leave it to chance: Random solutions to deterministic problems in discrete mathematics. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Meylahn, B. V., De Turck, K., & Mandjes, M. (2025). Trust in society: A stochastic compartmental model. Physica A: Statistical Mechanics and its Applications, 668, Article 130563. https://doi.org/10.1016/j.physa.2025.130563
  • Open Access
    Meylahn, B. V. (2025). Stochastic models of trust: Decentralised multi-agent learning for social dynamics. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Bekker, R., Bharti, B., & Mandjes, M. (2025). Accurate and efficient approximation of large-scale appointment schedules. Stochastic Models, 41(4), 528-556. https://doi.org/10.1080/15326349.2025.2455750
  • Open Access
    Meylahn, B. V., den Boer, A. V., & Mandjes, M. (2024). Interpersonal trust: Asymptotic analysis of a stochastic coordination game with multi-agent learning. Chaos, 34(6), Article 063119. https://doi.org/10.1063/5.0205136
  • Open Access
    Meylahn, B. V., den Boer, A. V., & Mandjes, M. (2024). Trusting: Alone and together. Journal of Mathematical Sociology, 48(4), 424-478. https://doi.org/10.1080/0022250X.2024.2340135
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