Temporal models for estimation and short-term forecasting of neonatal mortality rates in sub-Saharan Africa

Katherine R. Paulson, Geir-Arne Fuglstad, Zehang Richard Li, Jonathan Wakefield

Open source

DOI: 10.1214/25-aoas2100
Published: 2026-03-01
Container: The Annals of Applied Statistics
Publisher: Institute of Mathematical Statistics
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1214/25-aoas2100,
  title = {Temporal models for estimation and short-term forecasting of neonatal mortality rates in sub-Saharan Africa},
  author = {Katherine R. Paulson and Geir-Arne Fuglstad and Zehang Richard Li and Jonathan Wakefield},
  year = {2026},
  journal = {The Annals of Applied Statistics},
  doi = {10.1214/25-aoas2100},
  url = {https://doi.org/10.1214/25-aoas2100}
}

RIS

TY  - JOUR
TI  - Temporal models for estimation and short-term forecasting of neonatal mortality rates in sub-Saharan Africa
AU  - Katherine R. Paulson
AU  - Geir-Arne Fuglstad
AU  - Zehang Richard Li
AU  - Jonathan Wakefield
PY  - 2026
JO  - The Annals of Applied Statistics
DO  - 10.1214/25-aoas2100
UR  - https://doi.org/10.1214/25-aoas2100
ER  -

APA

Paulson, K. R., Fuglstad, G., Li, Z. R., & Wakefield, J. (2026). Temporal models for estimation and short-term forecasting of neonatal mortality rates in sub-Saharan Africa. The Annals of Applied Statistics. https://doi.org/10.1214/25-aoas2100

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crossref · retrieved 2026-11-09T07:02:09.933Z