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Consider experiments with multiple treatments. Plan is to calculate marginal means and look for differences between treatments after false positive / multiple comparisons corrections.
May want to c…
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### Description
When analyzing the results of energy models, one key answer is to determine who the marginal plant (an asset in Tulipa) is.
The solution is not straightforward for several reasons…
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In the previous exercises, we looked at an association between the influence and leader questions using a contingency table. We saw some evidence of an association between those questions.
Now, let's…
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File: https://github.com/pymc-devs/pymc-examples/blob/main/examples/gaussian_processes/GP-Marginal.ipynb
Reviewers: @bwengals
## Known changes needed
Changes listed in this section should all be …
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Like here for glmmadaptive:
https://github.com/drizopoulos/GLMMadaptive/blob/master/R/methods.R#L507
Nice to have for lme4 and glmmTMB as well.
Might fit into this pkg?
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In Pumas we can do marginal MCMC where we only sample from the marginal posterior of the population parameters marginalizing out the subject specific parameters using LaplaceI or FOCE.
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It is confusing me that categorical attention with exact evidence sets inference_network_type not Nan.
In my option, categorical attention with exact evidence(Marginal Likelihood) is as follow:
…
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# Love marginal
![image](https://user-images.githubusercontent.com/10410257/28745570-78079332-74ad-11e7-9ff2-f392fa88965e.png)
## 歌曲信息
- 专辑:Love_marginal
- 作词:畑_亜貴
- 作曲:藤末_樹
- 编曲:藤末_…
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Marginal Distributions: Given query variables Q and a possibly empty evidence E, compute the
marginal distribution P (Q|E) (12pts). (Note that Q is a subset of the variables in the Bayesian
network …
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[ggextra](https://deanattali.com/2015/03/29/ggExtra-r-package/) has these nice marginal displays.
![image](https://user-images.githubusercontent.com/43392409/99860409-d7e95e80-2b47-11eb-8615-cc2b14d5…