Pages that link to "Item:Q451227"

The following pages link to On Bayesian model and variable selection using MCMC (Q451227):

Displaying 48 items.

• Bayesian variable selection and shrinkage strategies in a complicated modelling setting with missing data: A case study using multistate models (Q3389289) (← links)
• Multiset Model Selection (Q3391125) (← links)
• Bayesian spatial models for small area estimation of proportions (Q3427623) (← links)
• Bayesian Assessment of the Distribution of Insurance Claim Counts Using Reversible Jump MCMC (Q3518779) (← links)
• A Bayesian Semiparametric Survival Model with Longitudinal Markers (Q3576919) (← links)
• Marginal Likelihood Estimation via Power Posteriors (Q3631463) (← links)
• Bayesian Inference for Non-Gaussian Ornstein–Uhlenbeck Stochastic Volatility Processes (Q4665852) (← links)
• Bayesian Variable Selection Methods for Log-Gaussian Cox Processes (Q4689192) (← links)
• A geometric approach to transdimensional markov chain monte carlo (Q4819901) (← links)
• (Q4845386) (← links)
• Bayesian variable selection logistic regression with paired proteomic measurements (Q4962955) (← links)
• Bayesian variable selection for logistic regression (Q4970277) (← links)
• Bayesian approach to inverse scattering with topological priors (Q4970552) (← links)
• Forecasting with Multivariate Threshold Autoregressive Models (Q5029417) (← links)
• Bayesian Variable Selection for Gaussian Copula Regression Models (Q5066444) (← links)
• Reversible jump MCMC to identify dropout mechanism in longitudinal data (Q5083453) (← links)
• Areal prediction of survey data using Bayesian spatial generalised linear models (Q5083913) (← links)
• Bayesian Model Selection in Additive Partial Linear Models Via Locally Adaptive Splines (Q5084431) (← links)
• Bayesian Approaches to Shrinkage and Sparse Estimation (Q5100721) (← links)
• A data-driven selection of the number of clusters in the Dirichlet allocation model via Bayesian mixture modelling (Q5107497) (← links)
• Hypothesis testing, specification testing, and model selection based on the MCMC output using R (Q5116810) (← links)
• Practical Use of MCMC Methods: Lessons from a Case Study (Q5121841) (← links)
• Variable selection for spatial latent predictors under Bayesian spatial model (Q5193323) (← links)
• An MCMC model search algorithm for regression problems (Q5218902) (← links)
• Bayesian Analysis of Two-Level Fractional Factorial Experiments with Non-Normal Responses (Q5299935) (← links)
• Posterior model probabilities via path‐based pairwise priors (Q5313470) (← links)
• Model Determination for Categorical Data With Factor Level Merging (Q5313589) (← links)
• Bayesian Variable Selection in Markov Mixture Models (Q5451113) (← links)
• Bayesian estimation in Kibble's bivariate gamma distribution (Q5486558) (← links)
• Bayesian inference for high‐dimensional linear regression under mnet priors (Q5507353) (← links)
• A Method to Handle Zero Counts in the Multinomial Model (Q5868174) (← links)
• A discussion of ‘prior-based Bayesian information criterion (PBIC)’ (Q5879983) (← links)
• Bayesian variable selection via a benchmark in normal linear models (Q5880065) (← links)
• Marginal Likelihood Computation for Model Selection and Hypothesis Testing: An Extensive Review (Q5883296) (← links)
• Joint specification of model space and parameter space prior distributions (Q5962691) (← links)
• On oracle property and asymptotic validity of Bayesian generalized method of moments (Q5964279) (← links)
• The whetstone and the alum block: balanced objective Bayesian comparison of nested models for discrete data (Q5965032) (← links)
• Neuronized Priors for Bayesian Sparse Linear Regression (Q6110693) (← links)
• The semi-hierarchical Dirichlet process and its application to clustering homogeneous distributions (Q6117928) (← links)
• Power-expected-posterior priors as mixtures of \(g\)-priors in normal linear models (Q6121976) (← links)
• Bayesian nonparametric density autoregression with lag selection (Q6121984) (← links)
• Bayesian change-points detection assuming a power law process in the recurrent-event context (Q6204963) (← links)
• Bayesian sparse graphical models and their mixtures (Q6537781) (← links)
• Bayesian outcome selection modeling (Q6548812) (← links)
• Bayesian adaptive selection of basis functions for functional data representation (Q6571984) (← links)
• Semiparametric GARCH via Bayesian Model Averaging (Q6617768) (← links)
• Model choice using reversible jump Markov chain Monte Carlo (Q6647316) (← links)
• On Bayesian model selection for INGARCH models viatrans-dimensional Markov chain Monte Carlo methods (Q6669917) (← links)