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I would like to use my fitted model for prediction.
Is there a way to save the Matjags output from model burn in such that it can be sampled from again later (an another Matlab session for example) wi…
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I am a beginner for Pyro. I'm currently working on a project in improving autoguides by removing **mean-field** assumptions, which means that the posterior should not use **AutoMultivariateNormal** or…
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Hi there,
The first line of the code for the Mandatory coin-flip example creates a random variable as follows:
``rv_coin_flip_prior = tfp.distributions.Bernoulli(probs=0.5, dtype=tf.int32)``
I …
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The Bayesian bootstrap simulates an approximation for the posterior distribution of a parameter by assuming that only the observed values are possible, and the relative frequency of each observed valu…
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I wonder the difference between Bayesian MCMC model and Bayesian regression analysis model.
The tensorflow_probability library is being used. The code has been imported from Excel into the target val…
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Hi there,
I know it is not ideal to use a single point statistic to summarise a posterior distribution.
I am deriving the estimated contributions of 4 sources (primary production pathways) to a var…
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### Bug Description
Added posterior from @istfer to our BNL BETY database here: https://modex.bnl.gov/bety/posteriors/1000013118#
Ran this to insert the posterior data into modex BETY:
```
bet…
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It is stated in the FAQ that sufficient **subchain length** can be defined as **chain length** of *usual* MCMC run divided by **ESS**. However, nested sampling & *usual* MCMC are guided by different d…
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# Chapter 6
- [x] Extend the title of the chapter by “Escaping from Mars: An example to estimate trajectories”
- [ ] At the beginning, it would be useful to introduce something like:
In this ch…
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Now that I've constructed several examples (commit 7607856), I realized there are multiple ways to report (and compare) outputs:
1. Symmetric error bars
2. Asymmetric error bars
3. With or withou…