Pages that link to "Item:Q4267762"
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The following pages link to Seeking efficient data augmentation schemes via conditional and marginal augmentation (Q4267762):
Displaying 50 items.
- A Bayesian analysis of the multinomial probit model using marginal data augmentation (Q69484) (← links)
- 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)
- A theory for the multiset sampler (Q419154) (← links)
- Data augmentation strategies for the Bayesian spatial probit regression model (Q425634) (← 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)
- Bayesian analysis of multivariate probit models with surrogate outcome data (Q603165) (← 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)
- Improving efficiency of data augmentation algorithms using Peskun's theorem (Q736654) (← links)
- A full stage data augmentation method in deep convolutional neural network for natural image classification (Q779087) (← links)
- Cross-fertilizing strategies for better EM mountain climbing and DA field exploration: a graphical guide book (Q906515) (← links)
- Parameter expansion and efficient inference (Q906525) (← links)
- On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors (Q962214) (← 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)
- Data augmentation and parameter expansion for independent or spatially correlated ordinal data (Q1663196) (← 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)
- Bayesian estimation of sparse dynamic factor models with order-independent and ex-post mode identification (Q1740344) (← links)
- Sufficient burn-in for Gibbs samplers for a hierarchical random effects model. (Q1879955) (← links)
- Convergence rates for MCMC algorithms for a robust Bayesian binary regression model (Q1950912) (← links)
- A hybrid scan Gibbs sampler for Bayesian models with latent variables (Q2075694) (← links)
- Using Bayesian latent Gaussian graphical models to infer symptom associations in verbal autopsies (Q2226709) (← links)
- Mixtures of multivariate restricted skew-normal factor analyzer models in a Bayesian framework (Q2319477) (← links)
- A theoretical comparison of the data augmentation, marginal augmentation and PX-DA algorithms (Q2426614) (← links)
- Local consistency of Markov chain Monte Carlo methods (Q2434135) (← links)
- A clipped latent variable model for spatially correlated ordered categorical data (Q2445652) (← links)
- Choosing between identification schemes in noisy-news models (Q2700532) (← links)
- Partially Collapsed Gibbs Sampling for Linear Mixed-effects Models (Q2809592) (← links)
- A Pólya–Gamma sampler for a generalized logistic regression (Q3389646) (← links)
- Uncertainty Quantification for Modern High-Dimensional Regression via Scalable Bayesian Methods (Q3391194) (← links)
- (Q4614101) (← links)
- Data transforming augmentation for heteroscedastic models (Q5066014) (← links)
- Distributed Bayesian Inference in Linear Mixed-Effects Models (Q5066445) (← links)
- Fast Markov Chain Monte Carlo for High-Dimensional Bayesian Regression Models With Shrinkage Priors (Q5066449) (← links)
- (Q5149042) (← links)
- Bayesian Gaussian Copula Factor Models for Mixed Data (Q5327294) (← links)
- Trace Class Markov Chains for Bayesian Inference with Generalized Double Pareto Shrinkage Priors (Q5738830) (← links)
- Multilevel linear models, Gibbs samplers and multigrid decompositions (with discussion) (Q6117932) (← links)
- Bayesian CART models for insurance claims frequency (Q6152709) (← links)
- Slice sampling algorithm for estimating the item response theory model with ordinal response data (Q6181845) (← links)
- Scalable Bayesian computation for crossed and nested hierarchical models (Q6184925) (← links)
- An exact sampler for fully Baysian elastic net (Q6188253) (← links)
- Joint Bayesian longitudinal models for mixed outcome types and associated model selection techniques (Q6188255) (← links)
- Bayesian hierarchical stacking: some models are (somewhere) useful (Q6203242) (← links)
