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- https://github.com/seananderson/glmm-course
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From the to-do file:
> Existing RIF statistical functionality such as Satscan (for cluster dectection), INLA and LinBUGS/WinBUGS (for Bayesian Smoothing) will continue to be supported
Peter:
…
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Using an openwebrx as sample source for a CW Skimmer would be a nice to have.
CW Skimmer gets its samples via audio interface (max. 192kSpl/s IQ) or via network interface (i never used it). A backgro…
dh5ym updated
8 months ago
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# Neural Likelihood Free Inference – List of papers using Neural Networks for Bayesian Likelihood-Free Inference
List of papers using Neural Networks for Bayesian Likelihood-Free Inference
[https://…
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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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## Background
Bayesian statistics require that you specify a _**prior**_, indicating what value you expect the results to be, based on prior experience. This value is used to perform all the Bayes…
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Propose a paper for the journal club for our meeting in August.
The only condition is that if you propose a paper, you will present it!
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Hello,
Great package! I was wondering if it is possible to run mixed effects analyses too?
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```ErgonomicFugitive```> What you're asking for is bayesian probability analysis, though that's always going to be highly approximate when you don't have access to the data sets themselves. Short of t…
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### Description
Bayesian blocks for binned `'events'` do not appropriately compute the block size of the first and last bin. This causes a bias towards having a change point right…