Summary
We present a survey of recent developments in statistics connected to minimum volume (MV)-sets. MV-sets are sets which carry high mass concentration. Such sets are of interest in cluster analysis and can for example be used for estimating level sets of densities. Further statistical applications are prediction, testing for multimodality, goodness of fit, data analysis, regression problems, and density estimation.
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Polonik, W. (1997). Minimum Volume Sets in Statistics: Recent Developments. In: Klar, R., Opitz, O. (eds) Classification and Knowledge Organization. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59051-1_20
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DOI: https://doi.org/10.1007/978-3-642-59051-1_20
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