Mixture modelling encompasses a class of statistical methods that represent complex data distributions as combinations of simpler component distributions. By introducing latent variables to indicate ...
Bayesian mixture modelling offers a probabilistic framework for representing heterogeneity in data by assuming observations arise from a mixture of latent subpopulations, each described by a component ...
Forensic science plays a vital role in identifying, characterizing, and quantifying physical and biological traces recovered from crime scenes — a task that ...
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