| LTPDA Toolbox™ | contents | ![]() |
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 | |
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| Access | public |
| Defining Class | mfh |
| Sealed | 0 |
| Static | 0 |
| Sets for this method … |
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| Default |
Default |
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| 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 |
|
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 | 8ab8cbbc4bccf7543491a24448f4aae0b1be1c43 |
| Min input args | 1 |
| Max input args | -1 |
| Min output args | 1 |
| Max output args | -1 |
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Method: mfh/ne | Method: mfh/fminsearch | ![]() |
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