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A reference to the part of the paper int he code which is implements would be helpful.
Refer `Theorem 2.1 (Symmetrical equilibrium)` [here](https://github.com/Konczer/UncertaintyTheory/blob/f46c8a40c…
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DIC estimation hardcode following Pooley, C. M., & Marion, G. Bayesian model evidence as a practical alternative to deviance information criterion. Royal Society Open Science (2018), https://doi.org/1…
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Work with multi-layer bayesian neural networks and compare it with more classical methods (ADVI).
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https://github.com/ChaseMHansen/toy_repo/blob/728c34b33635d7a5713926eae537ddf4b536ed6c/Bayesian_Inference.py#L19
It might be more descriptive to call this something like calculate_posterior or simp…
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For some of the CFs we will want to do an ecgtheow and/or linearham analysis.
* Do we want this for each seeded CF?
* How will they be run?
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Hi,
I am trying to derive some inference from regressions based on different kernel combinations, and I am doing so computing the Bayes factors (indeed by means of a Parallel-Tempering Ensemble MC…
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This section is broken (again?) https://turinglang.org/v0.31/tutorials/10-bayesian-differential-equations/#inference-of-a-stochastic-differential-equation
The plot in the tutorials shows no samplin…
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As far as I understand:
- Bayesian Optimization is available in tidymodels - tune using the function `tune_bayes`, and
- the `tune_bayes` function uses `GPfit::GP_fit()` to fit a Gaussian Process a…
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# Bayesian vs. Frequentist - A data enthusiast blog - another wannabe 'statistician'
Here we will look at how a Bayesian and frequentist may go about answering a simple inference question:
Background…
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Hello Bayesian Wizards,
I recently worked on something for which the client was not sure about the adstock decay rates.
They said it should be somewhere between 30 to 50% for each of the 5 channels.…