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Here in the code is the log-likelihood of the NegBi up to a constant (where prob, size) are treated as constants
```
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Log probability mass function of the negative binomial distribution, with
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If the set of remaining pieces can be given a probability distribution skewed towards the beginning, then it might be a better alternative to the existing "Download in sequential order" feature. Addit…
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This is a design discussion on how to handle `pdf` and `pmf` in distrubtions, which can be discrete, continuous (short for "absolutely continuous"), and mixed. Assuming domain on the real numbers, and…
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What should the default values be for these parameters?
tail_N=0, tail_bound=None, tail_order=np.e
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Thanks your great work, I was reading your amazing blog recently. Maybe a stupid issue, I don't really understand the `logits` means in your code. I only know that it is the raw output of the last `De…
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![image](https://user-images.githubusercontent.com/63465970/196201270-69a596b2-dd03-4827-9814-208c8a9021a4.png)
By Eq. (3), the probability density $p(f)$ can be decomposed into the form of
a fa…
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### JASP Version
0.16.1
### Commit ID
_No response_
### JASP Module
jaspDistributions
### What analysis are you seeing the problem on?
Negative Binomial
### What OS are you seeing the problem …
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```
from openprompt import PromptForClassification
promptModel = PromptForClassification(
template = promptTemplate,
plm = plm,
verbalizer = promptVerbalizer,
)
import torch
pr…
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[TFP is awesome, thanks so much for all the amazing functionality!]
I've been reading the copulas primer at https://www.tensorflow.org/probability/examples/Gaussian_Copula
Twice in the first cou…
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I have quite a few applications where I need to compute the pdf (or cdf) of a discrete distribution over the whole range [n, n+1, ..., n+N]. At the moment, that requires calling the pdf (or cdf) funct…