Towards a complete characterization of indicator variograms and madograms
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866917225603006464 |
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| author | Emery, Xavier Lantuéjoul, Christian Mery, Nadia Maleki, Mohammad |
| author_facet | Emery, Xavier Lantuéjoul, Christian Mery, Nadia Maleki, Mohammad |
| contents | Indicator variograms and madograms are structural tools used in many disciplines of the natural sciences and engineering to describe random sets and random fields. To date, several necessary conditions are known for a function to be a valid indicator variogram but, except for intractable corner-positive inequalities, a complete characterization of indicator variograms is missing. Likewise, only partial characterizations of madograms are known. This paper provides novel necessary and sufficient conditions for a given function to be the variogram of an indicator random field with constant mean value or to be the madogram of a random field, and establishes under which conditions these two families of functions coincide. Our results apply to any set of points where the random field is defined and rely on distance geometry and Gaussian random field theory. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_19800 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Towards a complete characterization of indicator variograms and madograms Emery, Xavier Lantuéjoul, Christian Mery, Nadia Maleki, Mohammad Probability Statistics Theory Indicator variograms and madograms are structural tools used in many disciplines of the natural sciences and engineering to describe random sets and random fields. To date, several necessary conditions are known for a function to be a valid indicator variogram but, except for intractable corner-positive inequalities, a complete characterization of indicator variograms is missing. Likewise, only partial characterizations of madograms are known. This paper provides novel necessary and sufficient conditions for a given function to be the variogram of an indicator random field with constant mean value or to be the madogram of a random field, and establishes under which conditions these two families of functions coincide. Our results apply to any set of points where the random field is defined and rely on distance geometry and Gaussian random field theory. |
| title | Towards a complete characterization of indicator variograms and madograms |
| topic | Probability Statistics Theory |
| url | https://arxiv.org/abs/2601.19800 |