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To reproduce the result:
```
import tensorflow_probability as tfp
tfd = tfp.distributions
# Zero inflated log-normal
ziln = tfd.Mixture(
cat=tfd.Categorical(probs=[0.9, 0.1]),
component…
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I put this in the context of our suggestion to improve statistics teaching. I was thinking earlier of a paper/study on adding extremes and another on adding circular data to the teaching. I wonder n…
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nice answer and overview here, with references for R
http://stats.stackexchange.com/questions/70558/diagnostic-plots-for-count-regression
this may be interesting (not poisson), linked to in anoth…
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Sometimes it is useful to be able to define a multivariate distribution on iid variables by generating distributions on the fly which use different distribution parameters each variable according to a…
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#### Summary:
I need to get access to the stan_surv() function from 'rstanarm' development package; however, I am unable to install it on my machine.
#### Description:
I tried to install 'rstanar…
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I was going through a paper and came across this concept of mixture distributions and mixture model. Wolfram Alpha has mixture distributions and mixture models implemented. It would be great to see th…
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Dear botorch developers,
I have a question regarding output constraints. So far they are used and implemented in the following way:
- There is a property which should be larger than a user provi…
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I'd argue that using `minimum` and `maximum` to refer to the domain of a distribution is a misnomer. One can come close to justifying it: you can think of a distribution as a collection of pairs `x =>…
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Hi
I am a research assistant and I have been working on deep bayesian active learning for the past few weeks. I have been using pytorch and custom active learning classes so far, and i just found o…
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First issue I've done in my whole life
Edit: first line of code was not visible because I don't knon Markdown
This code simulates a continuous time Markov chain (CTMC) given some transition probab…