PointProcessEstimator

PointProcessEstimator[]

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

Details

  • PointProcessEstimator includes the following settings:
  • Automaticautomatically 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:

Wolfram Research (2020), PointProcessEstimator, Wolfram Language function, https://reference.wolfram.com/language/ref/PointProcessEstimator.html.

Text

Wolfram Research (2020), PointProcessEstimator, Wolfram Language function, https://reference.wolfram.com/language/ref/PointProcessEstimator.html.

CMS

Wolfram Language. 2020. "PointProcessEstimator." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/PointProcessEstimator.html.

APA

Wolfram Language. (2020). PointProcessEstimator. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/PointProcessEstimator.html

BibTeX

@misc{reference.wolfram_2022_pointprocessestimator, author="Wolfram Research", title="{PointProcessEstimator}", year="2020", howpublished="\url{https://reference.wolfram.com/language/ref/PointProcessEstimator.html}", note=[Accessed: 28-March-2023 ]}

BibLaTeX

@online{reference.wolfram_2022_pointprocessestimator, organization={Wolfram Research}, title={PointProcessEstimator}, year={2020}, url={https://reference.wolfram.com/language/ref/PointProcessEstimator.html}, note=[Accessed: 28-March-2023 ]}