(Un-)bounded transition fronts for the parabolic Anderson model and the randomized F-KPP equation
Author:
Affiliation:
1. Department of Mathematics and Computer Science, University of Basel
2. Department Mathematik/Informatik, Universität zu Köln
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference29 articles.
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3. Bovier, A. (2017). Gaussian Processes on Trees: From Spin Glasses to Branching Brownian Motion. Cambridge Studies in Advanced Mathematics 163. Cambridge Univ. Press, Cambridge.
4. ARONSON, D. G. and WEINBERGER, H. F. (1975). Nonlinear diffusion in population genetics, combustion, and nerve pulse propagation. In Partial Differential Equations and Related Topics (Program, Tulane Univ., New Orleans, La., 1974). Lecture Notes in Math. 446 5–49. Springer, Berlin.
5. BORODIN, A. N. and SALMINEN, P. (2015). Handbook of Brownian Motion—Facts and Formulae. Probability and Its Applications. Birkhäuser, Basel.
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1. Invariance principle for the maximal position process of branching Brownian motion in random environment;Electronic Journal of Probability;2023-01-01
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