Data used in plotCoef

[kreamas]

Hi, I'm trying to retrieve the raw data used in plotCoef.

I'm in the idea that the red line is taken via

.getLatentState(filterType='backwardSmoother', name='x')

but my issue is that I haven't found what are the values taken to plot the probability bands for such latent state

I thought that using

.getLatentCov(filterType='backwardSmoother', name='x')

would give me such numbers (by adding and substracting them from the Latent State) but such numbers are not the same as those that were plotted.

Am I doing and / or interpreting something wrong?

Thanks in advance

[wwrechard]

Hi Kreamas

The latent state plot function is done here:

pydlm/pydlm/plot/dlmPlot.py

Line 206 in 47d9437

def plotLatentState(time, coordinates, result, options, name):

The marginal variance is obtained from the diagonal entry of the latent covariance matrix:

pydlm/pydlm/plot/dlmPlot.py

Line 290 in 47d9437

var = [abs(item[dimension, dimension])

, which is the same as you described.

It then calls to a specific function for getting the confidence interval:

pydlm/pydlm/plot/dlmPlot.py

Line 300 in 47d9437

upper, lower = getInterval(data, var, p=options.confidence)

using the mean and variance from the previous steps. For p = 95%, the result is around [mean - 2 * sqrt(var), mean + 2 * sqrt(var)]