Pages that link to "Item:Q746186"
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The following pages link to Reversible jump methods for generalised linear models and generalised linear mixed models (Q746186):
Displaying 12 items.
- Quantifying uncertainty in transdimensional Markov chain Monte Carlo using discrete Markov models (Q142140) (← links)
- Exploring dependence between categorical variables: benefits and limitations of using variable selection within Bayesian clustering in relation to log-linear modelling with interaction terms (Q254920) (← links)
- A generalized multiple-try version of the reversible jump algorithm (Q1623419) (← links)
- Using hierarchical centering to facilitate a reversible jump MCMC algorithm for random effects models (Q1659251) (← links)
- Mode jumping MCMC for Bayesian variable selection in GLMM (Q1663135) (← links)
- A default prior distribution for contingency tables with dependent factor levels (Q1731163) (← links)
- Bayesian variable and link determination for generalised linear models (Q1869088) (← links)
- Default Bayesian model determination methods for generalised linear mixed models (Q2445779) (← links)
- A novel reversible jump algorithm for generalized linear models (Q3168780) (← links)
- Bayesian Variable Selection for Gaussian Copula Regression Models (Q5066444) (← links)
- Reversible jump Markov chain Monte Carlo algorithms for Bayesian variable selection in logistic mixed models (Q5085021) (← links)
- Reversible Jump PDMP Samplers for Variable Selection (Q6185587) (← links)
