Is this normal? A new projection pursuit index to assess a sample against a multivariate null distribution
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866917912497881088 |
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| author | Calvi, Annalisa Laa, Ursula Cook, Dianne |
| author_facet | Calvi, Annalisa Laa, Ursula Cook, Dianne |
| contents | Many data problems contain some reference or normal conditions, upon which to compare newly collected data. This scenario occurs in data collected as part of clinical trials to detect adverse events, or for measuring climate change against historical norms. The data is typically multivariate, and often the normal ranges are specified by a multivariate normal distribution. The work presented in this paper develops methods to compare the new sample against the reference distribution with high-dimensional visualisation. It uses a projection pursuit guided tour to produce a sequence of low-dimensional projections steered towards those where the new sample is most different from the reference. A new projection pursuit index is defined for this purpose. The tour visualisation also includes drawing of the projected ellipse, which is computed analytically, corresponding to the reference distribution. The methods are implemented in the R package, tourr. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_02397 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Is this normal? A new projection pursuit index to assess a sample against a multivariate null distribution Calvi, Annalisa Laa, Ursula Cook, Dianne Methodology Computation Many data problems contain some reference or normal conditions, upon which to compare newly collected data. This scenario occurs in data collected as part of clinical trials to detect adverse events, or for measuring climate change against historical norms. The data is typically multivariate, and often the normal ranges are specified by a multivariate normal distribution. The work presented in this paper develops methods to compare the new sample against the reference distribution with high-dimensional visualisation. It uses a projection pursuit guided tour to produce a sequence of low-dimensional projections steered towards those where the new sample is most different from the reference. A new projection pursuit index is defined for this purpose. The tour visualisation also includes drawing of the projected ellipse, which is computed analytically, corresponding to the reference distribution. The methods are implemented in the R package, tourr. |
| title | Is this normal? A new projection pursuit index to assess a sample against a multivariate null distribution |
| topic | Methodology Computation |
| url | https://arxiv.org/abs/2502.02397 |