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  • 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
  • Magra, A., Baarslag, T., & Spreij, P. (2023). Querying User Preferences in Automated Negotiation. In R. Hadfi, W. Li, & T. Ito (Eds.), 2023 IEEE International Conference on Agents : ICA 2023 : 4-6 December 2023, Kyoto, Japan : proceedings (pp. 71-76). IEEE Computer Society. https://doi.org/10.1109/ICA58824.2023.00021
  • Laevens, B. P. M., Pijpers, F. P., Boonstra, H. J., van Sark, W. G. J. H. M., & ten Bosch, O. (2023). A Markov Chain Monte Carlo approach for the estimation of photovoltaic system parameters. Solar Energy, 265, Article 112132. https://doi.org/10.1016/j.solener.2023.112132
  • Abiad, A., De Lima, L., Desai, D. N., Guo, K., Hogben, L., & Madrid, J. (2023). Positive and negative square energies of graphs. Electronic Journal of Linear Algebra, 39, 307-326. https://doi.org/10.13001/ela.2023.7827
  • Cassidy, A., Pijpers, F. P., & Field, D. (2023). Hidden singularities in spontaneously polarized molecular solids. Journal of Chemical Physics, 158(14), Article 144501. https://doi.org/10.1063/5.0138642
  • Benth, F. E., & Karbach, S. (2023). Multivariate continuous-time autoregressive moving-average processes on cones. Stochastic Processes and their Applications, 162, 299-337. https://doi.org/10.1016/j.spa.2023.05.003
  • Heck, A., Schut, M., van Wijk, M., Meijer, T., & Brouwer, N. (2023). E-Assessment of Mathematics and Statistics in Biomedical Sciences. In S. Hummel, & M.-T. Donner (Eds.), Student Assessment in Digital and Hybrid Learning Environments (pp. 207-230). (Doing Higher Education). Springer VS. https://doi.org/10.1007/978-3-658-42253-0_10
  • Michielon, M., Khedher, A., & Spreij, P. (2023). On Wasserstein distances, barycenters, and the cross-section methodology for proxy credit curves. International Journal of Financial Engineering, 10( 2), Article 2250037. https://doi.org/10.1142/S2424786322500372
  • Song, Y., Rottschäfer, V., Vijver, M. G., & Peijnenburg, W. J. G. M. (2023). Developing and verifying a quantitative dissolution model for metal-bearing nanoparticles in aqueous media. Environmental Science: Nano, 10(7), 1790-1799. https://doi.org/10.1039/D3EN00096F
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