Matches in SemOpenAlex for { <https://semopenalex.org/work/W2786371775> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W2786371775 abstract "We introduce a novel Bayesian approach for quantitative learning for graphical log-linear marginal models. These models belong to curved exponential families that are difficult to handle from a Bayesian perspective. The likelihood cannot be analytically expressed as a function of the marginal log-linear interactions, but only in terms of cell counts or probabilities. Posterior distributions cannot be directly obtained, and Markov Chain Monte Carlo (MCMC) methods are needed. Finally, a well-defined model requires parameter values that lead to compatible marginal probabilities. Hence, any MCMC should account for this important restriction. We construct a fully automatic and efficient MCMC strategy for quantitative learning for such models that handles these problems. While the prior is expressed in terms of the marginal log-linear interactions, we build an MCMC algorithm that employs a proposal on the probability parameter space. The corresponding proposal on the marginal log-linear interactions is obtained via parameter transformation. We exploit a conditional conjugate setup to build an efficient proposal on probability parameters. The proposed methodology is illustrated by a simulation study and a real dataset." @default.
- W2786371775 created "2018-02-23" @default.
- W2786371775 creator A5021033859 @default.
- W2786371775 creator A5062615685 @default.
- W2786371775 creator A5064704210 @default.
- W2786371775 date "2019-09-01" @default.
- W2786371775 modified "2023-09-25" @default.
- W2786371775 title "Probability Based Independence Sampler for Bayesian Quantitative Learning in Graphical Log-Linear Marginal Models" @default.
- W2786371775 cites W1491379284 @default.
- W2786371775 cites W1805220623 @default.
- W2786371775 cites W1856759137 @default.
- W2786371775 cites W1964356176 @default.
- W2786371775 cites W1965733286 @default.
- W2786371775 cites W1985573253 @default.
- W2786371775 cites W1994230777 @default.
- W2786371775 cites W2026870540 @default.
- W2786371775 cites W2041542605 @default.
- W2786371775 cites W2069117653 @default.
- W2786371775 cites W2073947316 @default.
- W2786371775 cites W2079352458 @default.
- W2786371775 cites W2099874950 @default.
- W2786371775 cites W2134364324 @default.
- W2786371775 cites W2163318056 @default.
- W2786371775 cites W2786371775 @default.
- W2786371775 doi "https://doi.org/10.1214/18-ba1128" @default.
- W2786371775 hasPublicationYear "2019" @default.
- W2786371775 type Work @default.
- W2786371775 sameAs 2786371775 @default.
- W2786371775 citedByCount "4" @default.
- W2786371775 countsByYear W27863717752019 @default.
- W2786371775 countsByYear W27863717752021 @default.
- W2786371775 countsByYear W27863717752023 @default.
- W2786371775 crossrefType "journal-article" @default.
- W2786371775 hasAuthorship W2786371775A5021033859 @default.
- W2786371775 hasAuthorship W2786371775A5062615685 @default.
- W2786371775 hasAuthorship W2786371775A5064704210 @default.
- W2786371775 hasBestOaLocation W27863717751 @default.
- W2786371775 hasConcept C105795698 @default.
- W2786371775 hasConcept C107673813 @default.
- W2786371775 hasConcept C111350023 @default.
- W2786371775 hasConcept C11413529 @default.
- W2786371775 hasConcept C122123141 @default.
- W2786371775 hasConcept C152877465 @default.
- W2786371775 hasConcept C155846161 @default.
- W2786371775 hasConcept C163175372 @default.
- W2786371775 hasConcept C165216359 @default.
- W2786371775 hasConcept C177769412 @default.
- W2786371775 hasConcept C197656967 @default.
- W2786371775 hasConcept C26004113 @default.
- W2786371775 hasConcept C33923547 @default.
- W2786371775 hasConcept C35651441 @default.
- W2786371775 hasConcept C41008148 @default.
- W2786371775 hasConcept C70519679 @default.
- W2786371775 hasConcept C79772020 @default.
- W2786371775 hasConcept C95923904 @default.
- W2786371775 hasConcept C98763669 @default.
- W2786371775 hasConceptScore W2786371775C105795698 @default.
- W2786371775 hasConceptScore W2786371775C107673813 @default.
- W2786371775 hasConceptScore W2786371775C111350023 @default.
- W2786371775 hasConceptScore W2786371775C11413529 @default.
- W2786371775 hasConceptScore W2786371775C122123141 @default.
- W2786371775 hasConceptScore W2786371775C152877465 @default.
- W2786371775 hasConceptScore W2786371775C155846161 @default.
- W2786371775 hasConceptScore W2786371775C163175372 @default.
- W2786371775 hasConceptScore W2786371775C165216359 @default.
- W2786371775 hasConceptScore W2786371775C177769412 @default.
- W2786371775 hasConceptScore W2786371775C197656967 @default.
- W2786371775 hasConceptScore W2786371775C26004113 @default.
- W2786371775 hasConceptScore W2786371775C33923547 @default.
- W2786371775 hasConceptScore W2786371775C35651441 @default.
- W2786371775 hasConceptScore W2786371775C41008148 @default.
- W2786371775 hasConceptScore W2786371775C70519679 @default.
- W2786371775 hasConceptScore W2786371775C79772020 @default.
- W2786371775 hasConceptScore W2786371775C95923904 @default.
- W2786371775 hasConceptScore W2786371775C98763669 @default.
- W2786371775 hasIssue "3" @default.
- W2786371775 hasLocation W27863717751 @default.
- W2786371775 hasLocation W27863717752 @default.
- W2786371775 hasLocation W27863717753 @default.
- W2786371775 hasOpenAccess W2786371775 @default.
- W2786371775 hasPrimaryLocation W27863717751 @default.
- W2786371775 hasRelatedWork W1977128393 @default.
- W2786371775 hasRelatedWork W2099874950 @default.
- W2786371775 hasRelatedWork W2144845984 @default.
- W2786371775 hasRelatedWork W2786371775 @default.
- W2786371775 hasRelatedWork W2949206847 @default.
- W2786371775 hasRelatedWork W3102652972 @default.
- W2786371775 hasRelatedWork W3124605600 @default.
- W2786371775 hasRelatedWork W4289764690 @default.
- W2786371775 hasRelatedWork W4307765029 @default.
- W2786371775 hasRelatedWork W2803994013 @default.
- W2786371775 hasVolume "14" @default.
- W2786371775 isParatext "false" @default.
- W2786371775 isRetracted "false" @default.
- W2786371775 magId "2786371775" @default.
- W2786371775 workType "article" @default.