An introduction to Bayesian inference in gravitational-wave astronomy: Parameter estimation, model selection, and hierarchical models

Research article (Publications of the Astronomical Society of Australia, 2019) · cited 420× · AI/ML
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An introduction to Bayesian inference in gravitational-wave astronomy: Parameter estimation, model selection, and hierarchical models

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An introduction to Bayesian inference in gravitational-wave astronomy: Parameter estimation, model selection, and hierarchical models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An introduction to Bayesian inference in gravitational-wave astronomy: Parameter estimation, model selection, and hierarchical models. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-introduction-to-bayesian-inference-in-gravitational-wave-astronomy-parameter-estimation-model-selection-and-hierarchi
MLA “An introduction to Bayesian inference in gravitational-wave astronomy: Parameter estimation, model selection, and hierarchical models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-introduction-to-bayesian-inference-in-gravitational-wave-astronomy-parameter-estimation-model-selection-and-hierarchi.
BibTeX @misc{4ortxyz_an-introduction-to-bayesian-inference-in-gravitational-wave-astronomy-parameter-estimation-model-selection-and-hierarchi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An introduction to Bayesian inference in gravitational-wave astronomy: Parameter estimation, model selection, and hierarchical models}}, year = {2026}, url = {https://4ort.xyz/entity/an-introduction-to-bayesian-inference-in-gravitational-wave-astronomy-parameter-estimation-model-selection-and-hierarchi}, note = {Accessed: 2026-05-24}}
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