Your English writing platform
Discover LudwigExact(4)
Let,, be a finite data set and the given number of clusters.
The purpose of spectral estimation is to describe the distribution (over frequency) of the power contained in a time-series, based on a finite data set.
The excluded quartets were probably vulnerable to stochastic noise, that is, occasionally well supported but potentially false-positive topologies due to chance in a finite data set.
Trunk evaluated error rates for the Bayes decision rule, applied as a function of n, when the variance is assumed known but the class means are estimated based on a finite data set.
Similar(56)
By linking this technology with a relatively small and finite data set of U.S. zip codes and cities, the USPS can now process upwards of 36,000 pieces of mail per hour.
A key issue in the applicability of the MI is, however, a correct reference system or null model to understand finite-size effects in the underlying, finite data set.
To eliminate the bias caused by finite data set and eliminate the block-by-block bias in the calculation of SFC (caused by the different number of spikes in each block), we randomly sampled the stimulus interval to extract the same number of spikes in each block, and then used these spikes to calculate the STA (for each pair of electrodes).
Next, an adaptive fractional order differentiator is developed and applied to estimate the parameters of 1/f noise from the finite observation data set.
In each data set, a Finite Impulse Response (FIR) basis set was used to estimate the influence of RT variability independently at 7 discrete time points following stimulus onset.
A set of independent estimates of the power spectrum is computed, by pre-multiplying the data by orthogonal tapers which are constructed to minimize the spectral leakage due to the finite length of the data set.
Predicted voltages for a uniform earth (homogeneous and isotropic) potential model (finite difference) were subtracted from each data set (for its respective current source location), and the voltage residuals superposed to create new data sets with greater measurement sensitivity and coverage, to aid in interpretation.
Write better and faster with AI suggestions while staying true to your unique style.
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