Moment estimation for statistics from marked point processes

By Dimitris Nicolas Politis, Michael Sherman. 2001

53 citations recorded by the source corpus.

Subfields: Applied Mathematics, Environmental Engineering, Geometry and Topology

View Paper: https://www.semanticscholar.org/paper/29180872c5880b2d2b260c42fe1c4094735aacf6

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. Yongtao Guan
2. Jun Zhu
3. Ji Meng Loh
4. Soumendra Nath Lahiri
5. Rasmus Waagepetersen

In Environmental Engineering

1. Yongtao Guan
2. Ji Meng Loh
3. J. Calvin
4. Michael Sherman
5. Jun Zhu
6. Xiaofeng Shao
7. Manfred Mudelsee
8. Michael Wolf

In Geometry and Topology

1. Yongtao Guan
2. Ji Meng Loh
3. Rasmus Waagepetersen

Citations in the corpus

• Resampling methods for spatial regression models under a class of stochastic designs (2006, background): “M R1195571 [36] Sherman,M .”
• A Composite Likelihood Approach in Fitting Spatial Point Process Models (2006, methodology): “As an alternative, we can use subsampling to estimate (θ0) (see Heagerty and Lumley 2000; Politis and Sherman 2001 for details).”
• A Thinned Block Bootstrap Variance Estimation Procedure for Inhomogeneous Spatial Point Patterns (2007, background): “Politis and Sherman (2001) and McElroy and Politis (2007) considered using subsampling for marked point processes.”
• A Nonparametric Test for Spatial Isotropy Using Subsampling (2004, background): “Politis and Sherman (2001) suggested both a deterministic approximation and a Monte Carlo or stochastic approximation.”