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In the definition of Gaussian2DLikelihood, you calculate the density function, when the result of density function >1 , result = -torch.log(torch.clamp(result, min=epsilon)), this value will 0. Is i…
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Is the data the value of Probability density function ,or the value of random variable？
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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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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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Wishing for a method `l2norm(d::Distribution)` that returns the L2 norm of the probability density function for `d`. Our use case is computing the Brier loss and integrated square loss for machine lea…
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**NOTE:** IF YOU DO NOT ATTACH YOUR LOG FILES, THEN THERE IS A HIGHER PROBABILITY THE ISSUE WON'T BE RESOLVED. (Steps at end)
# Please answer the following:
**FPP Version and Hardware**:
FPP 8.2…
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Just an idea
cc: @h-kamada
1. Define mask image in stochastic representation (defined in probability density function)
2. Extract keypoints as usual
3. sample points like RANSAC based detection but s…
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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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I think there's a subtle difference between conditioning on "survival" for the CDBDP with fossils (fossilized CDBDP?) and for the FBD.
For the SSBDP/FBD, conditioning on survival assumes the root n…