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Markov chain Monte Carlo with the Integrated Nested Laplace Approximation
Virgilio Gómez-Rubio,
Haavard Rue
Computer, Electrical and Mathematical Sciences and Engineering
Statistics
Research output
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Contribution to journal
›
Article
›
peer-review
40
Scopus citations
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Dive into the research topics of 'Markov chain Monte Carlo with the Integrated Nested Laplace Approximation'. Together they form a unique fingerprint.
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Mathematics
Laplace Approximation
100%
Markov Chain Monte Carlo
100%
Gaussian Distribution
23%
Bayesian
15%
Model Fit
15%
Number
15%
Linear Models
7%
Wide Range
7%
Conditionals
7%
Mixture Model
7%
Markov Random Fields
7%
Covariate
7%
Marginal Posterior
7%
Linear Predictor
7%
Marginal Posterior Distribution
7%
Approximates
7%
Alternative Way
7%
Monte Carlo Algorithm
7%
Nonlinear Term
7%
Complex Model
7%
Hierarchical Model
7%
Conditional Model
7%
Keyphrases
Intermediate Integrals
7%
Bayesian Lasso
7%
Latent Effects
7%
Laplace Prior
7%
Linear Classification
7%
Intermediate Distribution
7%
Conditional Model
7%
Metropolis-Hastings
7%