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I am computing density histograms of a data set with some outliers that appear with small but non-negligible frequency (say around 10%). Including the outliers would skew the plot too much, so I exc…
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Hi, I agree with most of your claims but noticed a few loopholes in how you justify them. Your math work is easily verified but I'm afraid it fails to generalize to the real world.
Specifically, he…
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When switching on a second, third etc population and the density map switch (overlay) is active and a probability map is active then all probability maps of all the switched on populations are loaded.…
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In the documentation the expression given for the density of the Gaussian distribution assumed for the observation model
https://github.com/dstansby/demcmc/blob/a6d184a5625e5f468fce2639bac39f72c4d8…
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## TAC:
On-manifold KDE approx products, e.g. `pqr = p * q * r`, where p,q,r are probability densities, and on say SE(3) manifold, or similar.
Note: probability density on manifold here is akin …
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This is highly dependent on the chosen plotting back-end, but it would be great to have `plotKDE` draw labeled contour plots (ideally showing the total enclosed probability, not the density level sets…
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I had a meeting with Rik today and learned that the VBM pipeline includes a conversion of tissue probabilities to volume. Sometimes you want one, and sometimes the other. In particular, if you want to…
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In the old version, we don't compute a log score for discrete sample-based forecasts. The reason for that is that the `scoringRules` implementation of the log score estimates a density, which is diffi…
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There currently exists code for generating normal curves and random normal data, but not skewed normal data. This type of curve and data generator would be useful.
https://math.stackexchange.com/qu…
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Utilize kernel density estimation to estimate the probability distribution or some similar method and utilize that to run simulations