Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
There have so far been few mixture models: rare examples include two models presented by Rhoades and Gerstenberger (2009).
Similar(59)
A further motivation for mixture models is the concern that different parts of the response distribution could be differently affected by covariates (i.e. rare users, low cost users, high cost users).
Estimating mixture models via mixture of polynomials.
Using Mixture Models for Collaborative Filtering.
Finite mixture models, Dirichlet process mixture models, and Pitman--Yor process mixture models make this assumption, as do all other infinitely exchangeable clustering models.
A permutation-augmented sampler for Dirichlet process mixture models.
So let's start with mixture models and clustering.
McLachlan, G. & Peel, D. Finite Mixture Models (John Wiley & Sons, New York, 2000).
Gaussian mixture models.
The remaining chapters describe models for ordered-category data, multilevel models, models for differential item functioning, multidimensional models, models for local item dependency, and mixture models.
Two mixture models namely Gaussian mixture model (GMM) and Laplacian mixture model (LMM) are considered in this work.
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