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I was going through the examples to calculte Bayes Factors (BF) for model comparison. It all works out and is neatly described, but I was wondering, why 'Species' is modeled as a fixed effect predicto…
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Dunstan et al in [Easy computation of the Bayes factor to fully quantify Occam’s razor in least-squares fitting and to guide actions](https://www.nature.com/articles/s41598-021-04694-7) present "an ea…
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Hello,
I am interested to try selbal on my dataset. However, when I run selbal.cv() using only y on one dichotomous variable, I have the following error at step 1:
````task 1 failed - "Response an…
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### Errors when I use predict and predict_probability
### My environment
* pgmpy 0.1.6
* Python 3.6
* Ubuntu 18.04
### predict function error
When fed the BayesianModel little evidence, th…
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Hello!
I calculated a correlation matrix:
`cor_BF_fit_EGpos_all
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## Template for bug reports
* JASP version:
* OS name and version:
* Analysis:
* Steps to reproduce:
## Template for enhancement requests
* Enhancement: Bayesian MANOVA
* Purpose: I…
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Is there a maximum number of accepted factor levels when training naive bayes? I just only got missing values returned on a multiclass classification problem with 37 factor levels and 25k records.
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Thermodynamic methods provide a way to estimate marginal likelihoods (aka model evidence) using MCMC, serving as an alternative to nested sampling methods.
Some related papers:
1. Friel, Nial, a…
yebai updated
4 years ago
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Hi, I really like your approach for modelling ordinal data and am trying it on my data. I have gene expression data and ordinal response data as well as categorical unpenalized factors. I have split m…