# Tagged Questions

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31 views

### Can I calculate another model? [on hold]

Let's assume that I have following linear model: y = b + c*x can I just do following to get linear regression model for x? It will be a good model? y - b = c*x x = -b/c + 1/c*y What if I had more ...
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### Weight shrinking in linear regression by L2 regularization [on hold]

Quoting Prof. Bengio from his Deep Learning text (http://www.iro.umontreal.ca/~bengioy/dlbook/regularization.html), $w = (X^{T}X + \alpha I)^{-1}X^{T}y$ We can see L2 regularization causes ...
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### How should strongly correlated covariates for logistic regression be treated? [closed]

I have to build a logistic regression for multiple covariates (predictor variables), two of which are strongly correlated. How should they be treated? Am I to exclude one of them from the regression? ...
31 views

### Functional approximation that vanishes at infinity

I have a function $f(x)$ that I wish to approximate using a linear combination of basis functions $$\hat{f}(x) = \sum_{i=1}^k c_i \varphi_i(x).$$ The approximation is done via an orthogonal ...
41 views

### Derivation of gradient of SSE in Geodesic Regression

On page 79 (or page 5) of this this paper the gradient of the SSE of the Geodesic model is described explicitly. My question is how are these equitations derived in detail; where can I find the ...
When running a logistic regression, the result of the regression is a value that could fall in $(-\infty, \infty)$. You run it through the logistic function and get a value in $(0, 1)$. So far, so ...