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Techniques for estimating compound probability distribution by simulating large empirical samples with scalable parallel and distributed processing
Techniques for estimating compound probability distribution by simulating large empirical samples with scalable parallel and distributed processing
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机译:通过可扩展的并行和分布式处理模拟大型经验样本来估计复合概率分布的技术
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摘要
Techniques for estimated compound probability distribution are described. An apparatus comprising a configuration component, perturbation component, sample generation controller, an aggregation component, a distribution fitting component, and statistics generation component. The configuration component operative to receive a compound model specification and candidate distribution definition. The perturbation component operative to generate a plurality of models from the compound model specification. The sample generation controller operative to initiate the generation of a plurality of compound model samples from each of the plurality of models. The distribution fitting component to generate parameter values for the candidate distribution definition based on the compound model samples. The statistics generation component to generate approximated aggregate statistics.
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