Lectures on the Poisson Process

By Mathew D. Penrose. 2017

575 citations recorded by the source corpus.

Subfields: Applied Mathematics, Mathematical Physics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/f397e902cdd93643ca46c82d0ba7214af2e1975d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Mathematics

1. Zakhar Kabluchko
2. Dmitry Zaporozhets
3. C. Thaele
4. Jure Leskovec
5. Matthias Schulte
6. Günter Last
7. Giovanni Peccati

In Mathematical Physics

1. Zakhar Kabluchko
2. Jure Leskovec
3. C. Thaele
4. A. C. Davison
5. Sebastian Engelke
6. Martin Schlather
7. Mathieu Ribatet

In Molecular Biology

1. Pan Li
2. Yanbang Wang
3. Dmitry Zaporozhets
4. C. Thaele
5. Zakhar Kabluchko
6. Yunyu Liu
7. Yen-Yu Chang
8. Jure Leskovec

Citations in the corpus

• Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks (2021, background): “|} if links in E w p ,t p come in by following a Poisson process with intensity τ (Last & Penrose, 2017).”
• Beta polytopes and Poisson polyhedra: f-vectors and angles (2018, background): “Both models are classical objects in stochastic geometry and well studied; we refer to [25, 35] for further background material.”