Method mfh/fisher


  FISHER.M Calculation of the fisher Information Matrix/Covariance
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
  INPUTS:
          - The MFH object
          - The set of parameters x.
          - The inverse cross-spectrum matrix S (in structure array,
            see function MCMC.ao2structArrays).
          - DStep. The set of derivative steps. (double vactor).
 
  OUTPUTS:
          - Covariance matrix of the parameters.
 
Method Details
Access public
Defining Class mfh
Sealed 0
Static 0

Parameter Description

Default

no description
Key Default Value Options Description
FITPARAMS '' none (Optional) The Parameter names of the model.
PARAMSVALUES '' none The numerical values of the parameters.
PINV 1
  • 1
  • 0
Use the Penrose-Moore pseudoinverse
TOL [] none Tolerance for the Penrose-Moore pseudoinverse
DIFFSTEP [] none Numerical differentiation step for ssm models
LOG PARAMETERS [] none An array with upper and lower values for the parameters ranges. To be used to compute the optimal differentiation step for ssm models.
NOISE [] none The inverse cross-spectrum matrix of the noise. Must be either an AO or a MATRIX object
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Some information of the method mfh/fisher are listed below:
Class name mfh
Method name fisher
Category Signal Processing
Package name ltpda
VCS Version 175910878ca914560542d679d9d392de37438d84
Min input args 1
Max input args -1
Min output args 1
Max output args -1




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