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Merge and Select: Visualization of a likelihood based k-sample adaptive fusing and model selection | | Agnieszka Sitko
; Przemyslaw Biecek
; | | Date: |
13 Sep 2017 | | Abstract: | In this article we introduce Merge and Select - a methodology - and
factorMerger - an R package - for exploration and visualization of k-group
comparisons. Comparison of k-groups is one of the most important issues in
exploratory analyses and it has zillions of applications. The classical
solution is to test a null hypothesis that observations from all groups come
from the same distribution. If the global null hypothesis is rejected a more
detailed analysis of differences among pairs of groups is performed. The
traditional approach is to use pairwise post hoc tests in order to verify which
groups differ significantly. However, this approach fails with large number of
groups in both interpretation and visualization layer. The Merge and Select
methodology solves this problem by using easy to understand description of LRT
based similarity among groups. | | Source: | arXiv, 1709.4412 | | Services: | Forum | Review | PDF | Favorites | |
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