Scaling Properties of a Random Yule Tree Embedded in R^D

We study a random tree, which was introduced in [4] as part of a model of a neuronal network. Realising a scaling relation for the law of the tree, we can use elementary techniques to derive asymptotic results on the geometry as time goes to infinity.

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Publication Details

Journal
Markov Processes And Related Fields
Published
2024-08-26
DOI
https://doi.org/10.61102/1024-2953-mprf.2024.30.2.004
Citations
1
Primary Topic
Stochastic processes and statistical mechanics
Type
article
Field-Weighted Citation Impact
0.89
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article

Scaling Properties of a Random Yule Tree Embedded in R^D

Lukas Schoug
1 citations
Markov Processes And Related Fields
Stochastic processes and statistical mechanics
0.89
article

Scaling Properties of a Random Yule Tree Embedded in R^D

Lukas Schoug
article en
1 citations

Abstract

We study a random tree, which was introduced in [4] as part of a model of a neuronal network. Realising a scaling relation for the law of the tree, we can use elementary techniques to derive asymptotic results on the geometry as time goes to infinity.

Markov Processes And Related Fields(2024 № 2 (30))
Peace, Justice and strong institutions
Openalex Percentile: Top 30%
Stochastic processes and statistical mechanics
0.89
DOISourceOpenAlex
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Scaling Properties of a Random Yule Tree Embedded in R^D — Lukas Schoug · Markov Processes And Related Fields (2024) | TGRS Research Map | TGRS