Pages that link to "Item:Q1271109"
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The following pages link to Discretization and MCMC. Convergence assessment (Q1271109):
Displaying 12 items.
- The mode oriented stochastic search (MOSS) algorithm for log-linear models with conjugate priors (Q537428) (← links)
- Comparison of methodologies to assess the convergence of Markov chain Monte Carlo methods (Q959355) (← links)
- Allowing for the effect of data binning in a Bayesian normal mixture model (Q962340) (← links)
- On time series model selection involving many candidate ARMA models (Q1020721) (← links)
- Small sets and Markov transition densities. (Q1766078) (← links)
- Bayesian inference for some Lanchester combat laws. (Q1810500) (← links)
- An automated stopping rule for MCMC convergence assessment (Q1979100) (← links)
- Multiple change-points detection by empirical Bayesian information criteria and Gibbs sampling induced stochastic search (Q1984867) (← links)
- The ODE method for stability of skip-free Markov chains with applications to MCMC (Q2426609) (← links)
- Accounting for the threshold uncertainity in extreme value estimation (Q2463692) (← links)
- Quasi-conjugate Bayes estimates for GPD parameters and application to heavy tails modelling (Q2488471) (← links)
- Bayesian unmasking in linear models. (Q5940874) (← links)
