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RISMCMC strategies for a Bayesian analysis of reaction norm models with unknown covariates
Year: 2006
Abstract:
The performance of three versions of the Gibbs sampling algorithm, and of two versions of the Langevin-Hastings algorithm were studied in a specific application involving an analysis of a reaction norm model. Two datasets ...
Identifiability of parameters and behaviour of MCMC chains: a case study using the reaction norm model
Year: 2009
Abstract:
Markov chain Monte Carlo (MCMC) enables fitting complex hierarchical models that may adequately reflect the process of data generation. Some of these models may contain more parameters than can be uniquely inferred from the distribution of the data...
Proposal adaptation in simulated annealing for continuous optimization problems
Publisher: Springer-Verlag
Year: 2013
Improved Bayesian inference for the stochastic block model with application to large networks
Publisher: Elsevier Science
Year: 2013
Convergence bound in total variation for an image restoration model
Publisher: Elsevier Science
Year: 2014
Bayesian shape analysis of the complex Bingham distribution
Publisher: Elsevier Science
Year: 2014
Efficiency of alternative MCMC strategies illustrated using the reaction norm model
Year: 2008
Abstract:
The Markov chain Monte Carlo (MCMC) strategy provides remarkable flexibility for fitting complex hierarchical models. However, when parameters are highly correlated in their posterior distributions and their number is large, a particular MCMC...
Semi parametric quantile estimation for double threshold autoregressive models with heteroskedasticity
Publisher: Springer-Verlag
Year: 2013
On polychoric and polyserial partial correlation coefficients: A Bayesian approach
Publisher: Springer
Year: 2013
On the flexibility of the design of multiple try Metropolis schemes
Publisher: Springer-Verlag
Year: 2013