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Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
3
votes
2
answers
438
views
Assumptions of mixed effects model
I am reading a book which has a chapter on mixed effects models, but I am a little confused by both the model and the underlying assumptions.
Suppose we have the following basic mixed effects model:
$ …
3
votes
0
answers
48
views
Question about minimising empirical loss by gradient descent
Say we wanted to learn $f_{\theta}(\pmb{x})=y$, with a loss function $L(f_{\theta}(\pmb{x}),y)$. We often want to choose $\theta$ which minimises the empirical loss, as the exact loss isn't available …
2
votes
0
answers
723
views
Random vs deterministic predictors in regression
Let me know if you want me to clarify anything.
edit: I tried searching but couldn't find anything, but scrolled through the tags of "regression" and found this excellent answer by kjetil b halvorsen. …
4
votes
2
answers
10k
views
Confusion about confounders and moderators
So as I understand it a confounder is associated with both the response and explanatory variable, and explains any association between the explanatory and response variable. However a moderators chang …