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# Designing a register of replicability estimates for published research findings
***By Cooper Smout, Institute for Globally Distributed Open Research and Education***
- Theme: Past, Present and Futu…
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We finally have some code running! @wangxm-forest will update the end of the datasim_explore.r (https://github.com/AileneKane/bayes4cons/blob/main/bayesvfisherbox/datasimulation/datasim_explore.R) to …
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There's now a convenient package for computing frequentist model-averaged CIs/CDs https://cran.r-project.org/web/packages/MATA/index.html
As well as for Bayesian model-averaging/stacking https://mc-s…
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I've just completed an [analysis](https://github.com/Kevin-McIsaac/Nightlife/blob/master/9.1_Lockout_Law_Impact_on_Train_Usage.ipynb) of train data looking for impacts from Sydney's :lockout laws". Fo…
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Currently the components using `analytics-client` need to type code to define each experiment's configuration as seen in [the UI repository](https://github.com/balena-io/balena-ui/blob/b999a100fa5cf50…
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(parking some references)
previously I only looked at model averaging in linear models. There is also a literature for Poisson, discrete and other nonlinear models.
Zhang, Xinyu, and Chu-An Liu …
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Although the package names have high face validity, it still might not be 100% clear if after fitting a model I should use `parameters` or `estimate`? For a Bayesian model, should I *also* or *only* u…
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StatsBase.jl defines a type called `StatisticalModel`. This type (and possibly a few others) should define the interface for a broad class of models in statistics and machine learning. Just as the Dis…
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Since `bayestestR` can really be used with any distribution of data, I think it would be good to have a vignette about using it with non-Bayeisan distributions - for example how to use `bayestestR` wi…
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The paper "Likelihood-free parameter estimation with neural Bayes estimators" (Sainsbury-Dale, Zammit-Mangion, & Huser, 2023) enables neural amortized *point* estimation, which is generally faster tha…