7 votes
Accepted

Linear relationship seems to depends from one value: would bootstraping help?

First off: If I extend this argument, would removing other value also impact the relationship? Almost certainly yes. The regression line slope depends on all observations, so removing any point will ...
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4 votes

Average Error vs. Aggregate Error

$\varphi_A$ in this excerpt refers to an estimator constructed by aggregating estimators trained on different datasets drawn from the distribution $P$. So that would be like training different models ...
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  • 1,723
2 votes

Calculate a permutation-based p-value for a risk ratio

given that the resulting null distribution of permuted risk ratios is skewed and centred on 1? You can express the risk ratio, the ratio of probabilities for the cases $x_0$ and $x_1$ given the other ...
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1 vote
Accepted

Sampling from transition model in particle filter

In the original paper, I do not see the previous weights being propagated: The authors thus assume (in the Prediction paragraph) the $x_{k-1}(i)$ are equally weighted, as being a sample from the ...
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  • 92.7k
1 vote
Accepted

What is the exact name of post-hoc test?

It's a test created by the book's author, Rand Wilcox. It's probably best to describe it by the description of the function: "Test of equal trimmed means using a percentile t bootstrap method&...
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1 vote

Risk score uncertainty quantification

It seems that what I am asking for is fundamentally impossible: in particular, it is impossible to quantify the aleatoric uncertainty associated with risk scores estimated from binary observations. ...
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  • 1,024

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