N |
1000 |
none |
number of samples of the chain. |
COV |
0.0001 |
none |
covariance of the gaussian jumping distribution. |
FITPARAMS |
[] |
none |
A cell array of evaluated parameters. |
INPUT |
'' |
none |
A matrix array of input signals. |
FREQUENCIES |
[] |
none |
Range of frequencies where the analysis is performed. If an array, only first and last are used |
NOISE |
'' |
none |
An array of noise spectrum (PSD) used to compute the likelihood. |
MODEL |
'' |
none |
An array of models. |
SEARCH |
1 |
|
Set to true to use bigger jumps in parameter space during annealing and cool down. |
SIMPLEX |
1 |
|
Set to true to perform a simplex search to find the starting parameters of the MCMC chain. |
HEAT |
1 |
none |
The heat index flattening likelihood surface during annealing. |
TC |
[] |
none |
An array of two values setting the initial and final value for the cooling down. |
X0 |
[] |
none |
The proposed initial values. |
JUMPS |
[] |
none |
An array of four numbers setting the rescaling of the covariance matrix during the search phase. |
PLOT |
[] |
none |
Select indexes of the parameters to be plotted. |
DEBUG |
0 |
|
Set to true to get debug information of the MCMC process. |
PRIOR |
'' |
none |
Mean, sigma and normalization factor for priors. Still under test |
ANNEAL |
'simul' |
|
Choose type of annealing during sampling. Default value is simulated annealing. Choose "thermo" for annealing with a thermostat. SNR is computed and if it is larger than a fixed value SNR0 (provided also in the plist), then the chains are heated by a factor of (SNR(1)/SNR0)^2. Choosing "simple" the deviation of the loglikelihood of every 10 points in the chains is stored. If this deviation is larger or smaller than two fixed values the chains are cooled or heated respectively. |
SNR0 |
200 |
none |
Fixed value for thermostated annealing. |
DELTAL |
[100 600 2 3] |
none |
Deviation of Loglikelihood for 10 points of the chains. Used forthe "simple" choice of annealing with a thermostat. |