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Similar to the [tutorial on custom losses in SVI](http://pyro.ai/examples/custom_objectives.html), we should have a tutorial on implementing custom MCMC kernels using the new MCMC API. Something simp…
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### Goal
Connect Hoopla to emcee.js, allow a user to find a rough initial guess of a lens model based on the image of the input lensing system, then apply MCMC to improve the accuracy of the guessed…
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Good morning,
I have an issue on `emcee`. The `EnsembleSampler` crashes after a few iterations and raises a `ValueError: Probability function returned NaN`. The thing is my user-defined probability…
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This is meant as an umbrella issue for documenting the steps required to depreciate `VarInfo` in favour of `SimpleVarInfo`-equivalwent.
Some known items:
- [x] Lineralisation for `SimpleVarInf…
yebai updated
2 months ago
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AbstractMCMC@5 has `initial_state` as a mechanism to "resume" a chain.
This then begs the question: do we even need `resume_from` that is present in many sampler impls in Turing.jl?
https://gith…
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https://github.com/klipto/Uncertainty/blob/master/Uncertain/MarkovChainMonteCarloSampler.cs
The sampler is the main part of the uncertain code.
First try to implement the sampler.
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TypeError Traceback (most recent call last)
Cell In[9], line 4
2 number_warmup=100
3 number_samples=100
----> 4 mmm.fit(
5 media=media_data_t…
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I am new to Cobaya and the development of Likelihood in this framework. I have written my likelihood and the param file. The params of my file look like this,
```
params:
H0: 67.0
mnu: 0.06
…
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Hi,
When I plot results from 'allesfitter' I keep getting poorly-fitting models included in the plot. Both RV and photometry data is being fit together.
From my understanding, it is incredibly unl…
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I came across a strange bug. Here's a minimum (not) working example to replicate the problem.
This is with Bambi 0.12.0 and pandas 2.0.3. At first I thought it might be a pandas 2 problem, but the …