On One of Matérn's Hard‐core Point Process Models

By Dietrich Stoyan, H. Stoyan. 1985

How researchers see this paper

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

1. Alex Kulesza
2. B. Taskar
3. Robert L. Wolpert
4. Mark L. Huber
5. Yoshua Bengio
6. Nathan D. Ratliff
7. Tamir Hazan
8. Ruslan Salakhutdinov

Citations in the corpus

• Determinantal Point Processes for Machine Learning (2012, background): “Stoyan and Stoyan [138] considered an extension where the radius is itself chosen randomly, which may be more natural for certain settings, but it does not alleviate the computational issues.”
• Likelihood-based inference for Matérn type-III repulsive point processes (2009, background): “Note that the time marks could have been drawn from any continuous distribution on the real numbers [28].”