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These methods often assume a solution as a finite series in terms of modal functions with time-varying coefficients.
Example 1 (Association: Particle mixtures vs. Gaussianity assumption) Note that classical association methods often assume Gaussian target densities.
In unsupervised methods, speaker identities and pretraining with clean speech are not available, while supervised methods often assume both.
While discrete choice research and modeling techniques have been applied to estimate consumer preferences for technologies, these methods often assume static preferences.
In particular, many model-driven methods often assume certain distributions for the data that are either not true or not easily verifiable.
Moreover, such analysis methods often assume that there may be an all-to-all interaction among the studied genes.
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The first group utilizes classic denoising methods, which often assume an a priori parametric or non-parametric model for the signal and noise (e.g. Wiener filtering [ 5], kernel regression [ 6], or wavelets [ 7]).
First, theoretical results in Politis et al. [ 1999, pp. 47 51] suggest that subsampling is less efficient but more general than bootstrapping; specifically, that whereas bootstrap methods must often assume that the estimated statistic is at least locally smooth (which the true or sampled is not), this assumption is not needed for subsampling.
GPs often assume that the best methods to increase compliance/adherence are shocking the patients, putting pressure on them and threatening to refer them to hospital.
I think we often assume that their primary method of learning is words, so we are careful about avoiding those nasty Anglo-Saxon words we don't want them to scream out loudly at school or pre-school.
This is opposed to other methods such as those of the Bayesian alphabet family, which often assume that the genetic variance is explained by a reduced number of markers, among which some have a small or no effect [ 6- 8].
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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