Unanswered Questions
2,518 questions with no upvoted or accepted answers
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Is the Naive Bayes family of classifiers linear?
There are a lot of places where you'll see the proof that Naive Bayes classifiers are linear, like this and this. But they always assume a special case of the family of Naive Bayes classifiers which ...
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8
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652
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Calculate goodness-of-fit (with deviance) to compare averaged models?
I need to compare the goodness of fit of several averaged logistic regression models by calculating the deviance explained. I'm using the MuMIn package in R to ...
CommunityBot
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8
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Inverse Mills ratio after OLS
Short version of the question:
Is it possible to create a dependent variable in the first step of the Heckman Selection model such that it is possible to obtain the values for the calculation of the ...
- 19.4k
7
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1
answer
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Overfitting a neural network to a single batch as a sanity check - how small a loss value is small enough and long to run for?
I'm currently developing a neural network for a regression task. Following on from the advice given in places like here, here, and here I'm attempting to overfit my model to a single batch of 5 ...
CommunityBot
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7
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1
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Linear model: potential outcome framework vs. structural causal model
From my reading about the potential outcomes framework (POF) and structural causal models (SCM), I understand that both perspectives have been shown to be equivalent but take different starting points....
CommunityBot
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7
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Identifying non-linearities in relationship between variables
Logistic regression is often used to identify the effect of $x$ on a binary variable $y$ after adjusting for potential confounders $x_1,...,x_n$. In the medical literature, I will sometimes encounter ...
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What are the differences between HC estimators and their small sample properties?
I am currently using R to run regression with the following code:
...
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7
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1
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2k
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What is the equivalent of a standard deviation when considering a least squares fit line?
I am calculating a tolerance interval following http://www.itl.nist.gov/div898/handbook/prc/section2/prc253.htm but this says to multiply the k value by the standard deviation of the sample. I have a ...
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6
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Asymptotic properties of functional models
When working in Functional Data Analysis, a classical "preprocessing" step is to represent the "observations" using a B-spline expansion:
$$
X_i(t) \approx \sum_{j=1}^J \lambda_{ij}...
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6
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Before using CV-selected Regression model for Inference, shouldn't model performance be evaluated on unused test set?
I just came across a biokinesiology paper that used some Machine Learning methods, but I think there is a flaw in their methodology.
The authors had data on stroke patients and used Lasso regression ...
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6
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150
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using `lmer` to fit the linear mixed effects models
Edit: I know some people vote this question is off-topic since it is more like a Cross Validated question. However, I am not here to ask about the coding thing (but I might word in the wrong way). I ...
- 135k
6
votes
1
answer
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Importance of regressors in time series data
Could anyone recommend bibliography or name some useful methods to analyze which (exogenous) variables are most important in determining the value of a time series?
For context, I have a random time ...
- 134k
6
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1
answer
3k
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Comparing observed and predicted values across several measurements
I am investigating whether a medical treatment has an effect on cognitive measures (aside from curing the medical problem). I have been looking for a statistically sound method to approach the ...
CommunityBot
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5
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1
answer
496
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How to train Prediction model for longitudinal data, with large number of time points?
Given a longitudinal data, that has date (in month-year format) as one of the independent variables and other independent variables being Gross metric tonnes, Tensile strength(UTS), weight per unit ...
CommunityBot
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5
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0
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358
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Equivalence of ANCOVA and repeated measures model
Consider an RCT with individuals i in 2 arms (group, with 0 = control and 1 = treatment) in which one metric outcome (score) is collected at baseline (pre) and after some treatment (post).
In an ...
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