KSLCore/ksl.utilities.distributions.fitting.scoring/AkaikeInfoCriterionScoringModel

AkaikeInfoCriterionScoringModel

class AkaikeInfoCriterionScoringModel(domain: Interval = DEFAULT_BIG_RANGE) : PDFScoringModel

Computes the Akaike Information Criterion (AIC) based on the data as the score. This assumes that the parameters of the supplied distribution have been estimated from the data and evaluates the likelihood associated with the current parameters of the distribution. The parameters of the distribution are not assumed to have been estimated from a maximum likelihood approach.

Constructors

constructor(domain: Interval = DEFAULT_BIG_RANGE)

Properties

domain

val domain: Interval

metric

val metric: Metric

Functions

newInstance

open override fun newInstance(): AkaikeInfoCriterionScoringModel

score

open fun score(result: EstimationResult): Score