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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…
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When testing bain in JASP we came across the following inconsistencies in the results. Maybe you have an idea where this originates and how to tackle these differences.
Windows/Mac
```
data("sesa…
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I just took a more thorough look at the Learn Bayes module, for my upcoming teaching tasks (intro Bayes first year bachelors students). I noticed two possible improvements:
- for Binomial estimation …
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@ptiede @anilipour
I'm thinking about the possibility of adding more probabilistic versions of some regularizers. For instance,
- L1-norm can be interpreted as each pixel intensity is following a…
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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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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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## 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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### Description
Scikit offers a gridsearch, where a large number of candidates (parameter configurations) is first trained on a very small batch of the training data. With each step the most promisin…
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The general challenge is arriving at a reliable statistic given how few data points we have. A statistic that measures deviation-from-Gaussian may be the best.
Start with measuring how well the…