Complexity analysis of Bayesian learning of high-dimensional DAG models and their equivalence classes (Q6136582)

scientific article; zbMATH DE number 7732739

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English	Complexity analysis of Bayesian learning of high-dimensional DAG models and their equivalence classes	scientific article; zbMATH DE number 7732739

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instance of

scholarly article

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title

Complexity analysis of Bayesian learning of high-dimensional DAG models and their equivalence classes (English)

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The Annals of Statistics

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publication date

31 August 2023

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full work available at URL

https://arxiv.org/abs/2101.04084

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https://projecteuclid.org/journals/annals-of-statistics/volume-51/issue-3/Complexity-analysis-of-Bayesian-learning-of-high-dimensional-DAG-models/10.1214/23-AOS2280.full

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zbMATH Keywords

finite Markov chains

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greedy equivalence search (GES)

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locally informed proposals

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Poincaré-type inequality

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random walk Metropolis-Hastings

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rapid mixing

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strong selection consistency

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MaRDI profile type

MaRDI publication profile

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cites work

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Complexity analysis of Bayesian learning of high-dimensional DAG models and their equivalence classes

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Identifiers

arXiv ID

2101.04084

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Mathematics Subject Classification ID

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Sitelinks

Mathematics(1 entry)

mardi Publication:6136582