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Misc notes:
- Bayes' Theorem is derived from laws of probability. Bayesian inference goes beyond this theorem and uses the language of probability to describe and quantify what we know about the va…
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It's possible to produce a comparably accurate, but much leaner EBM model by using the LASSO to effectively zero out less relevant terms (both main and interaction effects) and reweight the remaining …
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Hi,
Chapter 2 [states](https://storopoli.github.io/Bayesian-Julia/pages/02_bayes_stats/#confidence_intervals):
> This means that 95 studies out of 100, which would use the same sample size and t…
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It seems the example(i.e Z-test) in the notebook(frequentist) is only for analyzing the binary metrics(like conversion rate). Does this package also support T-test for continuous variable? I saw the `…
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We are developing [TransitionIndicators.jl](https://github.com/JuliaDynamics/TransitionIndicators.jl). There we use this surrogate package to test for significance. I coded the code below to bring sim…
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## Learning objectives
- How do we incorporate continuous predictors into our model?
- as normal
- but centre them
- How do we interpret model estimates for continuous predictors?
- chang…
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Hi @JenniNiku ,
a colleague recommended your R package for GLLVM and I am very curious, how you applied this approach to microbial data, specifically sequencing data. As sequencing data is compositio…
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@ShouvikGhosh2048 @ayushpatnaikgit
1) They have a list of multiple functions. We've implemented some of
them. Will we implement all of them?
(https://github.com/JuliaStats/StatsAPI.jl#extending-…
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I feel like we should go ahead and pursue something in an [initial proposal format](https://github.com/cran-task-views/ctv/blob/main/Proposal.md) (scope; tentative list of packages; overlap; maintaine…
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# Description
In `v0.6.0` docs, the `AsymptoticCalculator` API has a [nicely formatted docstring for the `test_stat` arg](https://pyhf.readthedocs.io/en/v0.6.0/_generated/pyhf.infer.calculators.Asy…