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). Bayesian semiparametric time varying model for count data to study the spread of the COVID-19 cases. Retrieved May 24, 2026, from https://4ort.xyz/entity/bayesian-semiparametric-time-varying-model-for-count-data-to-study-the-spread-of-the-covid-19-cases
MLA“Bayesian semiparametric time varying model for count data to study the spread of the COVID-19 cases.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bayesian-semiparametric-time-varying-model-for-count-data-to-study-the-spread-of-the-covid-19-cases.
BibTeX@misc{4ortxyz_bayesian-semiparametric-time-varying-model-for-count-data-to-study-the-spread-of-the-covid-19-cases_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bayesian semiparametric time varying model for count data to study the spread of the COVID-19 cases}}, year = {2026}, url = {https://4ort.xyz/entity/bayesian-semiparametric-time-varying-model-for-count-data-to-study-the-spread-of-the-covid-19-cases}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bayesian semiparametric time varying model for count data to study the spread of the COVID-19 cases — https://4ort.xyz/entity/bayesian-semiparametric-time-varying-model-for-count-data-to-study-the-spread-of-the-covid-19-cases (retrieved 2026-05-24)
