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distributions/

gauss_like__define.pro

This class implements the Likelihood abstract class to compute likelihoods using a 1D gaussian as the model distribution.

Class description for gauss_like

Inheritance

All ancestor classes: likelihood distribution

Fields in likelihood

Fields in distribution

Routines

result = gauss_like::loglikelihood(model)

Computer the log-likelihood of the data under a given model.

result = gauss_like::likelihood(model)

Compute the likelihood of the data under a given model

gauss_like__define

Instantiate the object

Routine details

topgauss_like::loglikelihood

result = gauss_like::loglikelihood(model)

Computer the log-likelihood of the data under a given model.

Return value

The log-likelihood of the data

Parameters

model

topgauss_like::likelihood

result = gauss_like::likelihood(model)

Compute the likelihood of the data under a given model

Return value

The likelihood of the data under model.

Parameters

model in required

A 2 element vector giving [mu, sigma] of the model gaussian.

topgauss_like__define

gauss_like__define

Instantiate the object

File attributes

Modifcation date: Mon Mar 22 16:17:13 2010
Lines: 60