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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: $ …
jacob's user avatar
  • 459
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 …
jacob's user avatar
  • 459
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. …
jacob's user avatar
  • 459
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 …
jacob's user avatar
  • 459