2 citations · 4 across the 4 of their papers we have counts for
4 papers
Weighted quantile estimators
Andrey Akinshin
In this paper, we consider a generic scheme that allows building weighted versions of various quantile estimators, such as traditional quantile estimators based on linear interpola…
Quantile absolute deviation
Andrey Akinshin
The median absolute deviation (MAD) is a popular robust measure of statistical dispersion. However, when it is applied to non-parametric distributions (especially multimodal, discr…
Finite-sample bias-correction factors for the median absolute deviation based on the Harrell-Davis quantile estimator and its trimmed modification
Andrey Akinshin
The median absolute deviation is a widely used robust measure of statistical dispersion. Using a scale constant, we can use it as an asymptotically consistent estimator for the sta…
Accuracy of reconstruction of spike-trains with two near-colliding nodes
Andrey Akinshin, Gil Goldman, Vladimir Golubyatnikov +1
We consider a signal reconstruction problem for signals of the form from their moments We assume $m_k…