Selection Sampling for Targeted Inference in Mixture Models

One of the challenges in using Markov chain Monte Carlo for model analysis in studies with very large datasets is the need to scan through the whole data at each iteration of the sampler. The following matlab code and examples is about Selection Sampling from Large Data Sets for Targeted Inference in Mixture Models. keywords:Flow cytometry, large data sets, mixture models, rare events, resampling, selection sampling, sequential Monte Carlo


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