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### Is your feature request related to a problem? Please describe.
### Proposed new feature or change:
I am interested in submitting a new feature proposal as an issue. Specifically, I have notice…
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Dear developers,
Recently, I am trying to write code for calculating MLE via TFP.
I found that TFP will not track the `loc` parameter of multivariate normal when using `GradientTape`
Here is an e…
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Do you have any plans to implement the distributions in the title? I'm working on implementing some things from Simon Prince's [Computer Vision](http://www.computervisionmodels.com/), and those are th…
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### What are you trying to do?
A cumulative distribution function is not currently available for multivariate normal distributions. It would be useful to have one. One exists for univariate normal …
ghost updated
2 years ago
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### Idea
The goal of this idea is to implement the multivariate normal distribution. This distribution is fundamental in a wide variety of statistical applications and will help unblock stdlib in o…
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Many empirical calibrations of parameters use multivariate Gaussians to represent the covariance between parameters. For example, a quadratic damage function with two coefficients, alpha and beta, wou…
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e.g.,
``` r
library(distributional)
p1
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Hi,
I am a bachelor from SCUT.
And I am trying something about VAE.
I met the same problem as you posted in https://github.com/pytorch/pytorch/issues/31248.
Could you tell how did you solve th…
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``` r
library(distributional)
mu [1] 0.1591549
```
Created on 2024-07-31 with [reprex v2.1.1](https://reprex.tidyverse.org)
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### Description
This RFC proposes implement large number of probability distributions. The purpose of this issue is to serve as a tracking issue for implement large number of probability distributi…