منابع مشابه
Scalable Approximate Bayesian Inference for Outlier Detection under Informative Sampling
Government surveys of business establishments receive a large volume of submissions where a small subset contain errors. Analysts need a fast-computing algorithm to flag this subset due to a short time window between collection and reporting. We offer a computationallyscalable optimization method based on non-parametric mixtures of hierarchical Dirichlet processes that allows discovery of multi...
متن کاملParametric Distributions of Complex Survey Data under Informative Probability Sampling
The sample distribution is defined as the distribution of the sample measurements given the selected sample. Under informative sampling, this distribution is different from the corresponding population distribution, although for several examples the two distributions are shown to be in the same family and only differ in some or all the parameters. A general approach of approximating the margina...
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The wide applicability of Gibbs sampling has increased the use of more complex and multi-level hierarchical models. To use these models entails dealing with hyperparameters in the deeper levels of a hierarchy. There are three typical methods for dealing with these hyperparameters: specify them, estimate them, or use a 'flat' prior. Each of these strategies has its own associated problems. In th...
متن کاملAdaptive Informative Sampling for Active Learning
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically choose data instances that maximize disagreement among the label predictions across an ensemble of classifiers. Many classifiers with different underlying structures could fit this framework, but some ensembles are more s...
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ژورنال
عنوان ژورنال: Scandinavian Journal of Statistics
سال: 2018
ISSN: 0303-6898,1467-9469
DOI: 10.1111/sjos.12312