Adaptive estimating function inference for nonstationary determinantal point processes-Reference-Cited by-同舟云学术

Adaptive estimating function inference for nonstationary determinantal point processes

Published:2020-02-20 Issue:1 Volume:48 Page:87-107
ISSN:0303-6898
Container-title:Scandinavian Journal of Statistics
language:en
Short-container-title:Scand J Statist

Author:

Lavancier Frédéric¹^ORCID,Poinas Arnaud²,Waagepetersen Rasmus³

Affiliation:

1. Laboratoire de Mathématiques Jean Leray University of Nantes

2. IRMAR University of Rennes 1

3. Department of Mathematical Sciences Aalborg University

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/sjos.12440

Reference35 articles.

1. Affandi R. H. Fox E. Adams R. &Taskar B.(2014).Learning the parameters of determinantal point process kernels. Paper presented at the International Conference on Machine Learning 1224–1232.

2. Spatial Point Patterns

3. Efficient pairwise composite likelihood estimation for spatial-clustered data

4. Diagnosing Bootstrap Success

5. Quantifying repulsiveness of determinantal point processes

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