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I'm starting a new issue rather than continue the already lengthy #16, though much of what we discussed there informs this topic.
At long last, I have some updates on the first stage of our expans…
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[Reports](https://github.com/dymnz/sEMG/tree/master/Reports/wang/semg_angle_est)
dymnz updated
5 years ago
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Matteo is providing a new set of molecules that need to be added to the graph database. The expectation is that there will be about 200M molecules.
To process this we need to re-instate the fragmentat…
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Hello,
I came across bias adjustment for [frequentist models involving response transformations and/or random effects](https://cran.r-project.org/web/packages/emmeans/vignettes/transformations.html…
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This looks like a recent hot topic mainly for machine learning.
Basic idea: use calibration data, separate from estimation/training data, to estimate quantiles and prediction sets or intervals for …
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Emi Tanaka and I have been doing some work (with Francis Hui) on conditional SDs and covariances between random and fixed-effect parameters. Although @dmbates has long contended that covariances betwe…
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Hi, everyone. I'm not sure if I am at the right place to ask, but I'll try it anyways :-)
I've been trying to implement the algorithm proposed in Tran et al. (2017) - "Hierarchical Implicit Models …
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#### Summary:
I went to rewrite the docs for von_mises to define its support as (-pi, pi) and add a note that things outside that range are handled periodically.
Then I realized von_mises_rng ge…
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Hi,
I am trying to train a most likely heteroscedastic GP (from "Most likely heteroscedastic GP regression", Kersting et al. 2007). To this end I am using the likelihood FixedNoiseGaussianLikelihoo…
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HI! Loving this. Trying to put together something for a manuscript that shows the cover of different species based on models, but, I notice `predict.gllvm()` doesn't have an option to get fit error on…