Generalized Taylor's law for infinite-mean heavy-tailed data under dependence and heterogeneity.
- DOI
- 10.1073/pnas.2611888123
- Published
- 2026 Oct 6
- Container
- Proceedings of the National Academy of Sciences of the United States of America
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1073/pnas.2611888123,
title = {Generalized Taylor's law for infinite-mean heavy-tailed data under dependence and heterogeneity.},
author = {Cheng PH and Cohen JE and Ling HK and Yam SCP},
year = {2026},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
doi = {10.1073/pnas.2611888123},
url = {https://doi.org/10.1073/pnas.2611888123}
}RIS
TY - JOUR TI - Generalized Taylor's law for infinite-mean heavy-tailed data under dependence and heterogeneity. AU - Cheng PH AU - Cohen JE AU - Ling HK AU - Yam SCP PY - 2026 JO - Proceedings of the National Academy of Sciences of the United States of America DO - 10.1073/pnas.2611888123 UR - https://doi.org/10.1073/pnas.2611888123 ER -
APA
PH, C., JE, C., HK, L., & SCP, Y. (2026). Generalized Taylor's law for infinite-mean heavy-tailed data under dependence and heterogeneity.. Proceedings of the National Academy of Sciences of the United States of America. https://doi.org/10.1073/pnas.2611888123
Source records
- pubmed · retrieved 2026-11-10T18:59:16.038Z