Assessing Spatial Point Process Models Using Weighted K-functions: Analysis of California Earthquakes

By Alejandro Veen, Frederic Paik Schoenberg. 2006

48 citations recorded by the source corpus.

Subfields: Applied Mathematics, Geometry and Topology

View Paper: https://www.semanticscholar.org/paper/d6768fc272c742fe62c5f9e872a8084f5d023b69

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. Andrew Bray
2. Giada Adelfio
3. Frederic Paik Schoenberg
4. R. Clements
5. Alejandro Veen
6. Yongtao Guan
7. Rasmus Waagepetersen

In Geometry and Topology

1. Andrew Bray
2. Frederic Paik Schoenberg
3. Giada Adelfio
4. R. Clements
5. Alejandro Veen

Citations in the corpus

• Evaluation of space–time point process models using super‐thinning (2011, methodology): “To accomplish this, we can use the weighted (or inhomogeneous) L-function, Lw.r/, described in Veen and Schoenberg (2005).”
• Point process diagnostics based on weighted second-order statistics and their asymptotic properties (2009, methodology): “The diagnostic tool here introduced is the result of an attempt to generalize the method of defining a residual measure for point processes (Baddeley et al. 2000) as described in Veen and Schoenberg (2005).”
• Assessment of Point Process Models for Earthquake Forecasting (2013, methodology): “As noted in Zechar et al. (2013), tests such as the L-test and N -test are really tests of the consistency between the data and a particular model, and are not ideal for comparing two models.”