Home ›
Entities
› academia
› Inference for social network models from egocentrically sampled data, with application to understanding persistent racial disparities in HIV prevalence in the US
Inference for social network models from egocentrically sampled data, with application to understanding persistent racial disparities in HIV prevalence in the US
Research article (The Annals of Applied Statistics, 2017) · cited 88× · AI/ML
Inference for social network models from egocentrically sampled data, with application to understanding persistent racial disparities in HIV prevalence in the US
Summary
Inference for social network models from egocentrically sampled data, with application to understanding persistent racial disparities in HIV prevalence in the US is a scholarly article[1].
Key Facts
Inference for social network models from egocentrically sampled data, with application to understanding persistent racial disparities in HIV prevalence in the US's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Inference for social network models from egocentrically sampled data, with application to understanding persistent racial disparities in HIV prevalence in the US. Retrieved May 24, 2026, from https://4ort.xyz/entity/inference-for-social-network-models-from-egocentrically-sampled-data-with-application-to-understanding-persistent-racial
MLA“Inference for social network models from egocentrically sampled data, with application to understanding persistent racial disparities in HIV prevalence in the US.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/inference-for-social-network-models-from-egocentrically-sampled-data-with-application-to-understanding-persistent-racial.
BibTeX@misc{4ortxyz_inference-for-social-network-models-from-egocentrically-sampled-data-with-application-to-understanding-persistent-racial_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Inference for social network models from egocentrically sampled data, with application to understanding persistent racial disparities in HIV prevalence in the US}}, year = {2026}, url = {https://4ort.xyz/entity/inference-for-social-network-models-from-egocentrically-sampled-data-with-application-to-understanding-persistent-racial}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Inference for social network models from egocentrically sampled data, with application to understanding persistent racial disparities in HIV prevalence in the US — https://4ort.xyz/entity/inference-for-social-network-models-from-egocentrically-sampled-data-with-application-to-understanding-persistent-racial (retrieved 2026-05-24)
