Abstract
The dead leaves model (DLM) provides a random tessellation of $d$-space, representing the visible portions of fallen leaves on the ground when $d=2$. For $d=1$, we establish formulae for the intensity, two-point correlations, and asymptotic covariances for the point process of cell boundaries, along with a functional CLT. For $d=2$ we establish analogous results for the random surface measure of cell boundaries, and also determine the intensity of cells in a more general setting than in earlier work of Cowan and Tsang. We introduce a general notion of dead leaves random measures and give formulae for means, asymptotic variances and functional CLTs for these measures; this has applications to various other quantities associated with the DLM. \\
Original language | English |
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Article number | 53 |
Pages (from-to) | 1-40 |
Number of pages | 40 |
Journal | Electronic Journal of Probability |
Volume | 25 |
DOIs | |
Publication status | Published - 5 May 2020 |
Bibliographical note
Publisher Copyright:© 2020, Institute of Mathematical Statistics. All rights reserved.
Keywords
- Central limit theorem
- Dead leaves model
- Ornstein-Uhlenbeck process
- Random measure
- Random tessellation
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty