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HARK's lognormal distribution can handle approximations that truncate the upper and lower tails, but this functionality isn't actually used in our models. A long-running issue with the accuracy of our…
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It would be very nice to extend the current functionality to truncated distributions. I already started a proof of concept in truncate branch. This proof of concept covers all the univariate distribut…
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More of a question than an issue (I hope that is okay). How do I implement a truncated normal distribution in Hydenet? I understand that I have to use “floor” from base R but I can not work out how to…
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Hi,
Is there a way to implement truncated laplace distribution and use it with NUTS sampler? Truncated PDF is original PDF divided
by `CDF(right) - CDF(left)` right?
Use case:
In the physi…
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some testers have been critical on the accuracy of the LOS statistic in fishtest and so ive been looking into it more. It seems that the score distribution used for LOS calculations is an unbounded sy…
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## 🚀 Feature
Implement truncated normal distribution.
## Motivation
A truncated normal distribution is useful as initializer of weights or when sampling from ReLU potentials. This has been re…
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Hi,
Do you have any suggestions on how to extend this package to incorporate a normal distribution which is truncated in the middle? That is, the support is _(-inf,a]_ and _[b,+inf)_ and points be…
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Reported by: | anne.dutfoy
Hi!
I would like to be able to estimate a truncated distribution from data when the bounds are fixed by the User and the model is known.
Thanks!
Reference: http:/…
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Just quickly parking a thought, upcoming design decision.
while looking at truncated countmodels #7973
example: What should `predict(which="mean")` return ?
mean of truncated distribution, e.g E(…