Search results
Results: 348
Number of items: 348
-
Boxma, O., Hinze, F., & Mandjes, M. (2024). Gerber-Shiu Metrics for a Bivariate Perturbed Risk Process. Risks, 12(1), Article 5. https://doi.org/10.3390/risks12010005 -
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 -
Mahes, R., Mandjes, M., Boon, M., & Taylor, P. (2024). Adaptive scheduling in service systems: A Dynamic programming approach. European Journal of Operational Research, 312(2), 605-626. https://doi.org/10.1016/j.ejor.2023.06.026 -
Kella, O., & Mandjes, M. (2023). From reflected Lévy processes to stochastically monotone Markov processes via generalized inverses and supermodularity. Journal of Applied Probability, 60(1), 68-84. https://doi.org/10.1017/jpr.2022.24
-
Zhou, H., Dorsman, J. L., Mandjes, M., & Snelder, M. (2023). On the use of common random numbers in activity-based travel demand modeling for scenario comparison. Transportation Planning and Technology, 46(3), 359-379. https://doi.org/10.1080/03081060.2023.2182784
-
Storm, P. J., Kager, W., Mandjes, M., & Borst, S. (2023). Stability of a stochastic ring network. Performance Evaluation, 162, Article 102355. https://doi.org/10.1016/j.peva.2023.102355 -
Braunsteins, P., den Hollander, F., & Mandjes, M. (2023). A sample-path large deviation principle for dynamic Erdős–Rényi random graphs. The Annals of Applied Probability, 33(4), 3278-3320. https://doi.org/10.1214/22-AAP1892
Page 4 of 35