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Probabilistic topic models are unsupervised generative models which model document content as a two-step generation process, that is, documents are observed as mixtures of latent concepts or topics, while topics are probability distributions over vocabulary words.
In the third step, we compared linear and non-linear models which model more degrees of freedom in underlying SNA latency.
Survival models which model time to death were fit using Cox modelling incorporating EQ-5D, CD4 count, and HIV plasma viral load as time-varying covariates.
Rasch models [ 9] are latent trait models which model a probabilistic relationship between the level of latent trait (commonly referred to as person "ability" or "measure") and the items used for measurement (item "difficulty" or "location").
Growth curve models, which model individual differences in change/growth over time, are appropriate to use with data where repeated measurement occasions are clustered within participants [ 8] because they take into account the dependence of residuals due to covariance between the levels in the data.
In comparison, the multi-zone model, which models a space by several zones, may be a better choice.
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To discern differentially methylated CpGs between EOC cases and controls, we fit a series of linear regression models, which modeled the methylation M-value for each CpG as a function of ovarian case/control status.
Velocities were used as inputs to a spring-mass-damper model which modelled human responses to wind gusts.
The entire rupturing is modeled by slip-distribution modeling, which models the waveform.
Proteochemometrics (PCM) is an approach for bioactivity predictive modeling which models the relationship between protein and chemical information.
In [8], Whiteley et al. presented a probabilistic "bar pointer model", which modeled one period of a hidden rhythmical pattern in music.
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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