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PointProcessEstimator

PointProcessEstimator

PointProcessEstimator

is an option to EstimatedPointProcess and FindPointProcessParameters that specifies what point process parameter estimator to use.

Details

PointProcessEstimator includes the following settings:

	Automatic	automatically choose the parameter estimator
	"MaximumLikelihood"	maximize the likelihood
	"MaximumPseudoLikelihood"	maximize the pseudo likelihood
	"FindClusters"	use FindClusters function
	"MethodOfMoments"	use a homogeinity measure to estimate the parameters

Settings for PointProcessEstimator are documented under the individual point process reference pages.
With the setting PointProcessEstimator->{"estimator",Method->{"solver",opts}}, additional options can be given for the solver.
Solver methods that do not rely on starting values will not make use of starting values given to EstimatedPointProcess or FindPointProcessParameters.

Examples

Basic Examples (1)

Simulate a point configuration from a Matérn point process:

Use the "FindClusters" method to estimate a point process model:

Compare Ripley measure between the original process and the estimated model:

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