TY - JOUR

T1 - Modern Statistics for Spatial Point Processes

A1 - Møller,Jesper

A1 - Waagepetersen,Rasmus

AU - Møller,Jesper

AU - Waagepetersen,Rasmus

PB - Wiley-Blackwell Publishing Ltd.

PY - 2007

Y1 - 2007

N2 - We summarize and discuss the current state of spatial point process theory and directions for future research, making an analogy with generalized linear models and random effect models, and illustrating the theory with various examples of applications. In particular, we consider Poisson, Gibbs and Cox process models, diagnostic tools and model checking, Markov chain Monte Carlo algorithms, computational methods for likelihood-based inference, and quick non-likelihood approaches to inference.

AB - We summarize and discuss the current state of spatial point process theory and directions for future research, making an analogy with generalized linear models and random effect models, and illustrating the theory with various examples of applications. In particular, we consider Poisson, Gibbs and Cox process models, diagnostic tools and model checking, Markov chain Monte Carlo algorithms, computational methods for likelihood-based inference, and quick non-likelihood approaches to inference.

U2 - 10.1111/j.1467-9469.2007.00569.x

DO - 10.1111/j.1467-9469.2007.00569.x

JO - Scandinavian Journal of Statistics

JF - Scandinavian Journal of Statistics

SN - 0303-6898

IS - 4

VL - 34

SP - 643

EP - 684

ER -