The BT method is a useful approximate method for analyzing point pattern health data with a normalizing integral. An important disadvantage of this method is ...
Jun 1, 2009 · The models considered vary from approximate methods to an exact method. The approximate methods include the Poisson process model and methods ...
The approximate methods include the Poisson process model and methods that are based on discretization of the study window. The exact method includes a marked ...
The appeal of Bayesian Poisson point process modeling is broadened to quantify excess risk while considering a form of a log Gaussian Cox process, ...
Dec 14, 2020 · In this article, we propose a doubly stochastic spatial point process model with both aggregation and repulsion.
The models considered vary from approximate methods to an exact method. The approximate methods include the Poisson process model and methods that are based on ...
Mar 23, 2020 · Abstract:In this paper, we propose a doubly stochastic spatial point process model with both aggregation and repulsion.
In this paper, we propose a doubly stochastic spatial point process model with both aggregation and repulsion. This model combines the ideas behind Strauss ...
The models considered vary from approximate methods to an exact method. The approximate methods include the Poisson process model and methods that are based on ...
In this paper, we show how to use approximate Bayesian computation (ABC) to make statistical inference for spatial point process models such as the. LGCP- ...
People also ask
What is the spatial point process model?
What are the methods of approximation in Bayesian?