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Evaluating the forecasting performance of ensemble sub-epidemic frameworks and other time series models for the 2022–2023 mpox epidemic
Research article (Royal Society Open Science, 2024) · cited 15× · AI/ML
Evaluating the forecasting performance of ensemble sub-epidemic frameworks and other time series models for the 2022–2023 mpox epidemic
Summary
Evaluating the forecasting performance of ensemble sub-epidemic frameworks and other time series models for the 2022–2023 mpox epidemic is a scholarly article[1].
Key Facts
Evaluating the forecasting performance of ensemble sub-epidemic frameworks and other time series models for the 2022–2023 mpox epidemic's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Evaluating the forecasting performance of ensemble sub-epidemic frameworks and other time series models for the 2022–2023 mpox epidemic. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-the-forecasting-performance-of-ensemble-sub-epidemic-frameworks-and-other-time-series-models-for-the-20222023
MLA“Evaluating the forecasting performance of ensemble sub-epidemic frameworks and other time series models for the 2022–2023 mpox epidemic.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-the-forecasting-performance-of-ensemble-sub-epidemic-frameworks-and-other-time-series-models-for-the-20222023.
BibTeX@misc{4ortxyz_evaluating-the-forecasting-performance-of-ensemble-sub-epidemic-frameworks-and-other-time-series-models-for-the-20222023_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating the forecasting performance of ensemble sub-epidemic frameworks and other time series models for the 2022–2023 mpox epidemic}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-the-forecasting-performance-of-ensemble-sub-epidemic-frameworks-and-other-time-series-models-for-the-20222023}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating the forecasting performance of ensemble sub-epidemic frameworks and other time series models for the 2022–2023 mpox epidemic — https://4ort.xyz/entity/evaluating-the-forecasting-performance-of-ensemble-sub-epidemic-frameworks-and-other-time-series-models-for-the-20222023 (retrieved 2026-05-24)