Bayesian inferences for beta semiparametric-mixed models to analyze longitudinal neuroimaging data
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Publication:2875762
DOI10.1002/bimj.201300003zbMath1441.62526OpenAlexW1942866073WikidataQ30784992 ScholiaQ30784992MaRDI QIDQ2875762
Publication date: 11 August 2014
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/bimj.201300003
Markov chain Monte Carlopenalized splinesbeta distributiondiffusion tensor imagingintegrated nested Laplace approximationgeneralized semiparametric-mixed model
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)
Uses Software
Cites Work
- Beta Regression for Modelling Rates and Proportions
- Slice sampling. (With discussions and rejoinder)
- A primer on disease mapping and ecological regression using \({\mathtt{INLA}}\)
- Sensitivity analysis in Bayesian generalized linear mixed models for binary data
- Joint generalized models for multidimensional outcomes: A case study of neuroscience data from multimodalities
- Approximate Bayesian Inference for Survival Models
- Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
- Bayesian generalized varying coefficient models for longitudinal proportional data with errors-in-covariates
- On the asymptotics of penalized splines
- Semiparametric Regression
- Bayesian Measures of Model Complexity and Fit
- Approximate Inference in Generalized Linear Mixed Models
- Bias correction in generalised linear mixed models with a single component of dispersion
- Adaptive Rejection Sampling for Gibbs Sampling
- BAYESIAN BETA REGRESSION: APPLICATIONS TO HOUSEHOLD EXPENDITURE DATA AND GENETIC DISTANCE BETWEEN FOOT‐AND‐MOUTH DISEASE VIRUSES
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