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Seems like an obvious question one could ask is "what is the signal for density dependence?", which could be assessed by running the analysis with and without that parameter. In addition, could allow …
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Hi,
The page in question is this: [Calculating Bayes factors with PyMC](http://stronginference.com/bayes-factors-pymc.html)
I ran the [model in it](https://github.com/pymc-devs/pymc/wiki/BayesFactor…
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Hello,
I'm not sure if this is the appropriate forum to ask this question. If it isn't, please let me know where I can find help.
Anyway, the page in question is this: [Calculating Bayes factors wit…
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I have started [a proof of concept for a more fluent API](https://github.com/BertrandDechoux/bayes-scala/blob/fluent-api/src/main/scala/bd/bayes/fluent/Api.scala). And I have already rewritten the tes…
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hm, I thought this was already here somewhere, but I don't see it.
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Could be useful to read in Bayes factors directly from the input file (e.g. from gwas software that give this as an output) rather than approximating using the Z-score/SE.
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-need to format this as a table (i.e. "table class="table table-striped") so that stuff lines up nicely and looks nicer (see http://science-commons.org/SlepianEtAl.html)
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I've got some single-cell RNA-seq counts (normalised with DESeq2) which I'd like to model with your mixture of continous and discrete components. I'm having some problems getting any sensible p-values…
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**Reported by rozyang on 16 Nov 43622165 12:23 UTC**
I tried to build KNN for the mnist8m dataset (a larger version of MNIST, with 8 million samples). The dataset is available at
http://ml.nec-labs.c…
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The only thing I've thought of is to use the pair hmm as a preclustering step, and just lower/loosen the single-linkage clustering cutoff to make sure we never cluster when we shouldn't, and then pass…