Stochastic fixed-point equation and local dependence measure
Author:
Affiliation:
1. Department of Mathematics, University of Washington
2. Faculty of Mathematics and Information Science, Warsaw University of Technology
3. Microsoft Corporation
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference19 articles.
1. BIENIEK, M. and BURDZY, K. (2018). The distribution of the spine of a Fleming–Viot type process. Stochastic Process. Appl. 128 3751–3777.
2. BIENIEK, M., BURDZY, K. and FINCH, S. (2012). Non-extinction of a Fleming–Viot particle model. Probab. Theory Related Fields 153 293–332.
3. BIENIEK, M., BURDZY, K. and PAL, S. (2012). Extinction of Fleming–Viot-type particle systems with strong drift. Electron. J. Probab. 17 no. 11, 15.
4. BULDYGIN, V. V., KLESOV, O. I. and STEINEBACH, J. G. (2013). Equivalent monotone versions of PRV functions. J. Math. Anal. Appl. 401 526–533.
5. BURACZEWSKI, D., DAMEK, E. and MIKOSCH, T. (2016). Stochastic Models with Power-Law Tails. The Equation X=AX+B. Springer Series in Operations Research and Financial Engineering. Springer, Cham.
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. On the spine of the two-particle Fleming-Viot process driven by Brownian motion;Electronic Communications in Probability;2024-01-01
2. Scaling limit of the Fleming–Viot MultiColor process;The Annals of Probability;2023-11-01
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