Pages that link to "Item:Q4541268"

The following pages link to Parameter Expansion for Data Augmentation (Q4541268):

Displaying 50 items.

• Bayesian exploratory factor analysis (Q118626) (← links)
• Variational inference for generalized linear mixed models using partially noncentered parametrizations (Q252744) (← links)
• Robust modeling using non-elliptically contoured multivariate \(t\) distributions (Q301357) (← links)
• Bayesian robust inference of sample selection using selection-\(t\) models (Q392110) (← links)
• Improving the convergence properties of the data augmentation algorithm with an application to Bayesian mixture modeling (Q449838) (← links)
• Data augmentation, frequentist estimation, and the Bayesian analysis of multinomial logit models (Q451483) (← links)
• Functional gradient ascent for probit regression (Q454437) (← links)
• Markov chain Monte Carlo estimation of quantiles (Q485905) (← links)
• Bayesian analysis of multivariate probit models with surrogate outcome data (Q603165) (← links)
• Bayesian semiparametric structural equation models with latent variables (Q615671) (← links)
• A short history of Markov chain Monte Carlo: Subjective recollections from incomplete data (Q635417) (← links)
• Spectral analytic comparisons for data augmentation (Q654482) (← links)
• A spectral analytic comparison of trace-class data augmentation algorithms and their sandwich variants (Q661172) (← links)
• Latent variable models with ordinal categorical covariates (Q693350) (← links)
• A Bayesian multinomial probit model for the analysis of panel choice data (Q736437) (← links)
• Bayesian accelerated life testing under competing log-location-scale family of causes of failure (Q736577) (← links)
• Improving efficiency of data augmentation algorithms using Peskun's theorem (Q736654) (← links)
• Cross-fertilizing strategies for better EM mountain climbing and DA field exploration: a graphical guide book (Q906515) (← links)
• From EM to data augmentation: the emergence of MCMC Bayesian computation in the 1980s (Q906521) (← links)
• Parameter expansion and efficient inference (Q906525) (← links)
• On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors (Q962214) (← links)
• Bayesian meta-analysis for identifying periodically expressed genes in fission yeast cell cycle (Q993270) (← links)
• Efficient estimation of the link function parameter in a robust Bayesian binary regression model (Q1623429) (← links)
• Sandwich algorithms for Bayesian variable selection (Q1623728) (← links)
• A hierarchical Bayesian approach for examining heterogeneity in choice decisions (Q1645038) (← links)
• A comparison of centring parameterisations of Gaussian process-based models for Bayesian computation using MCMC (Q1703834) (← links)
• Latent single-index models for ordinal data (Q1703869) (← links)
• Convergence analysis of the block Gibbs sampler for Bayesian probit linear mixed models with improper priors (Q1711583) (← links)
• Trace class Markov chains for the normal-gamma Bayesian shrinkage model (Q1711607) (← links)
• Transdimensional transformation based Markov chain Monte Carlo (Q1729804) (← links)
• Markov chain Monte Carlo based on deterministic transformations (Q1731164) (← links)
• Bayesian estimation of sparse dynamic factor models with order-independent and ex-post mode identification (Q1740344) (← links)
• Analysis of variance -- why it is more important than ever. (With discussions and rejoinder) (Q1781151) (← links)
• Bayesian variable selection for logistic mixed model with nonparametric random effects (Q1927042) (← links)
• Convergence rates for MCMC algorithms for a robust Bayesian binary regression model (Q1950912) (← links)
• Estimating the spectral gap of a trace-class Markov operator (Q2002572) (← links)
• A hybrid scan Gibbs sampler for Bayesian models with latent variables (Q2075694) (← links)
• Bayesian analysis of rank data with covariates and heterogeneous rankers (Q2075787) (← links)
• Bayesian variable selection for mixed effects model with shrinkage prior (Q2184407) (← links)
• Reducing the state space dimension in a large TVP-VAR (Q2190242) (← links)
• Using Bayesian latent Gaussian graphical models to infer symptom associations in verbal autopsies (Q2226709) (← links)
• A Bayesian semiparametric vector multiplicative error model (Q2242023) (← links)
• Batch means and spectral variance estimators in Markov chain Monte Carlo (Q2380096) (← links)
• The multiset EM algorithm (Q2405917) (← links)
• Robust model-based clustering via mixtures of skew-\(t\) distributions with missing information (Q2418408) (← links)
• A theoretical comparison of the data augmentation, marginal augmentation and PX-DA algorithms (Q2426614) (← links)
• Monte Carlo integration with Markov chain (Q2427151) (← links)
• A semiparametric approach to mixed outcome latent variable models: estimating the association between cognition and regional brain volumes (Q2441868) (← links)
• Spatially explicit models for inference about density in unmarked or partially marked populations (Q2443158) (← links)
• A clipped latent variable model for spatially correlated ordered categorical data (Q2445652) (← links)