Variational inference as an alternative to MCMC for parameter estimation and model selection

Research article (Publications of the Astronomical Society of Australia, 2022) · cited 21× · AI/ML
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Variational inference as an alternative to MCMC for parameter estimation and model selection is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Variational inference as an alternative to MCMC for parameter estimation and model selection. Retrieved May 24, 2026, from https://4ort.xyz/entity/variational-inference-as-an-alternative-to-mcmc-for-parameter-estimation-and-model-selection
MLA “Variational inference as an alternative to MCMC for parameter estimation and model selection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/variational-inference-as-an-alternative-to-mcmc-for-parameter-estimation-and-model-selection.
BibTeX @misc{4ortxyz_variational-inference-as-an-alternative-to-mcmc-for-parameter-estimation-and-model-selection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Variational inference as an alternative to MCMC for parameter estimation and model selection}}, year = {2026}, url = {https://4ort.xyz/entity/variational-inference-as-an-alternative-to-mcmc-for-parameter-estimation-and-model-selection}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Variational inference as an alternative to MCMC for parameter estimation and model selection — https://4ort.xyz/entity/variational-inference-as-an-alternative-to-mcmc-for-parameter-estimation-and-model-selection (retrieved 2026-05-24)

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