Semiparametric change points detection using single index spatial random effects model in environmental epidemiology study
Hamdy F. F. Mahmoud, Inyoung Kim · 2024
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Description
Hamdy Mahmoud and Inyoung Kim propose, in a 2024 paper, a single method that both traces how death rates bend with temperature and finds the temperatures where the bend turns. The mortality and temperature link is curved and refuses simple formulas, and its turning points, the change points, may themselves shift across a map. Treating the curve's shape and its turning points separately can distort both.
Their approach is semiparametric: a flexible curve rides on one index of the weather, while spatial random effects soak up place-to-place differences. Estimation, change point hunting, and a permutation test for whether the points are real all happen in one frame. Simulations check the machinery, and an epidemiological data set on deaths and temperature shows it in action. The authors argue the unified design beats stitching separate steps together.
Catalog record
| CREATOR | Hamdy F. F. Mahmoud, Inyoung Kim |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 52 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |