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A normal hierarchical model for random intervals| old_uid | 13975 |
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| title | A normal hierarchical model for random intervals |
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| start_date | 2014/05/15 |
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| schedule | 10h30-11h20 |
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| online | no |
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| location_info | salle 105 |
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| summary | Many statistical data are imprecise due to factors such as measurement errors, computation errors, and lack of information. In such cases, data are better represented by intervals rather than by single numbers. Existing methods for analyzing interval-valued data include regressions in the metric space of intervals and symbolic data analysis, the latter being proposed in a more general setting. However, there has been a lack of literature on the parametric modeling and distribution-based inferences for interval-valued data. |
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| responsibles | Piwowarski |
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