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An ARIMA time series option would be a useful model; [there is some literature here](https://otexts.com/fpp2/arima.html) that goes into detail explaining what it is and how it works.
Unfortunately …
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I would like a way to perform different methods for variable selection including:
- generating all possible regressions
- forward selection
- backward elimination
- stepwise regression
In parti…
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The aim of my work in this issue is to perform a compression detection method on dcm-zurich dataset.
The approach will be ML-based, same as the one of [sct_detect_compression](https://github.com/neu…
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**Version 0.2**
Id | Models | Code | Test | Documentation
--- | ---------------------------------- | -------- |--------|--------------…
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The first part is there, but there isn't much in the analysis section. neither methods describing the analysis, nor results. a few tables are referenced but they don't show up.
It seems the project…
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**Background and Problem Statement**
Incorporating economic data into models is often challenging, particularly in deciding which features to include. This decision-making process can benefit from a …
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Using 100 KDE features and all the categorical variables, I end up with a dataset that's `840x6578` so I'm inclined to do ridge regression. I tried to implement it in Stan but it's taking forever to s…
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@tlienart
1. **All Subset (Best K Subset)**:
I've got parsimonious code for All Subset Regression which might have a nice home in this package that I'd like to share.
While it's much faster than …
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Potential readings to focus understanding on probability, mathematical statistics, algorithms, etc more deeply. Talk of applications will be secondary.
- [Statistical modeling: the two cultures](ht…