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Currently, the Distributions have already provided a large collection of distributions and for some of them, MLE is implemented, as follows
``` julia
d = fit_mle(D,X);
```
However, the problem is mo…
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Hi, thanks for creating this library!
I was going through the continual regression tutorial notebook and wanted to try out `diag_fisher` and I expected it to produce similar results to `diag_vi`. H…
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It would be very helpful to have a function would return a list of distributional objects that make up a mixture distribution so that conjugacy can be used to calculate posteriors where possible. In P…
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To bring this in line with other rstan packages.
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A common user mistake is to specify the kernel_prior or kernel_posterior distribution without a matrix event shape. This makes the KL divergence computation incorrect as the KL must be over matrixvari…
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**Unsuccessful simulation of the first pollination logit model:**
Simulations of the first model for pollination interactions yield unexpected results. The errors between posterior parameter distribu…
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Hi @gfinak, hi @mikejiang,
I was wondering whether there was a way to get the quantiles of each point, for each cluster from a flowClust object., i.e. the quantile of each point with regard to the …
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## Current state of code
As per #239 we have a neat forecast function for models which have had inference on some time span $(1, T)$. The posterior chain can be used to condition the sampling of th…
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Hi @aet21 :
In the third step: "Development and application of probabilistic imputation model" of your GB paper, the DNAm levels of unexpressed genes are estimated by a 2-state mixture of gamma di…
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I am borrowing the phrasing of this concept from [Krüger 2021](https://onlinelibrary.wiley.com/doi/full/10.1111/insr.12405). Often, forecasts are issued as mixtures of closed-form forecasts (e.g. each…