Search results
-
Full text
-
Document type
-
Organisation
Filter results
Results: 3,604
Number of items: 3,604
-
Blom, J., De Turck, K., & Mandjes, M. (2016). Functional central limit theorems for Markov-modulated infinite-server systems. Mathematical Methods of Operations Research, 83(3), 351-372. https://doi.org/10.1007/s00186-016-0531-7
-
Boxma, O., Mandjes, M., & Reed, J. (2016). On a class of reflected AR(1) processes. Journal of Applied Probability, 53(3), 818-832. https://doi.org/10.1017/jpr.2016.42
-
Starreveld, N. J., Bekker, R., & Mandjes, M. (2016). Transient analysis of one-sided Lévy-driven queues. Stochastic Models, 32(3), 481-512. https://doi.org/10.1080/15326349.2016.1170615
-
Mandjes, M., & De Turck, K. (2016). Markov-modulated infinite-server queues driven by a common background process. Stochastic Models, 32(2), 206-232. https://doi.org/10.1080/15326349.2015.1100085
-
Diening, L., Kreuzer, C., & Stevenson, R. (2016). Instance Optimality of the Adaptive Maximum Strategy. Foundations of Computational Mathematics, 16(1), 33-68. https://doi.org/10.1007/s10208-014-9236-6
-
Gugushvili, S., & Spreij, P. (2016). Posterior contraction rate for non-parametric Bayesian estimation of the dispersion coefficient of a stochastic differential equation. ESAIM-Probability and Statistics, 20, 143-153. https://doi.org/10.1051/ps/2016008
-
Anderson, D., Blom, J., Mandjes, M., Thorsdottir, H., & de Turck, K. (2016). A Functional Central Limit Theorem for a Markov-Modulated Infinite-Server Queue. Methodology and Computing in Applied Probability, 18(1), 153-168. https://doi.org/10.1007/s11009-014-9405-8
-
Dotsenko, V., Shadrin, S., & Vallette, B. (2016). Pre-Lie Deformation Theory. Moscow Mathematical Journal, 16(3), 505-543. http://www.mathjournals.org/mmj/2016-016-003/2016-016-003-003.html
-
Carlet, G., Posthuma, H., & Shadrin, S. (2016). The bi-Hamiltonian cohomology of a scalar Poisson pencil. Bulletin of the London Mathematical Society, 48(4), 617-627. https://doi.org/10.1112/blms/bdw017
-
Stolk, C. C. (2016). A dispersion minimizing scheme for the 3-D Helmholtz equation based on ray theory. Journal of computational Physics, 314, 618-646. https://doi.org/10.1016/j.jcp.2016.03.023
Page 114 of 361