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The conversion function is a (piecewise) linear estimator that estimates the target features from the source features.
The proposed FTO is a neural state estimator that can estimate unmeasured states even in the presence of faults.
In this paper, we propose an AOA estimator that enhances the AOA estimation with low computational complexity.
The variance-covariance matrices were estimated with a Huber-type estimator that is robust for within-hospital clustering [ 32].
In Table 1, we report the estimated (choosing for identifiability) alongside the oracle estimator that knows the true classes.
White and Pagano [ 58] considers an estimator that can be called a running estimate of the instantaneous reproduction number.
Nevertheless, a precise unbiased estimator that takes into account known or estimated LD structure is an open problem for further work.
SURE is an unbiased estimator that can be used to get an estimate of the risk or the mean-squared error for a threshold value [ 21].
The M400 also measures times, distances, calories etc and includes some nice smart coaching features, including an estimator – that predicts run time based on current pace and a personal best notification system.
An unbiased estimator that achieves this bound is said to be an efficient estimator that provides the lowest possible minimum mean square error.
We present an approach for designing a least-squares estimator that uses an unfiltered regressor.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com