Variational Bayes for Fast and Accurate Empirical Likelihood Inference

Cites Work

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The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
Bayesian empirical likelihood for quantile regression
A penalized empirical likelihood method in high dimensions
Empirical likelihood ratio confidence regions
Adjusted empirical likelihood with high-order precision
Empirical likelihood and general estimating equations
An MCMC approach to classical estimation.
Gaussian variational approximation with sparse precision matrices
Maximum empirical likelihood estimation and related topics
The Bernstein-von Mises theorem under misspecification
An introduction to variational methods for graphical models
Variational Bayesian inference for network autoregression models
Convergence rates of variational posterior distributions
Bayesian empirical likelihood for ridge and Lasso regressions
The empirical likelihood prior applied to bias reduction of general estimating equations
Empirical likelihood for small area estimation
Bayesian Estimation and Comparison of Moment Condition Models
Explaining Variational Approximations
Extended empirical likelihood for estimating equations
Posterior expectation based on empirical likelihoods
EMPIRICAL LIKELIHOOD FOR GARCH MODELS
Empirical-type likelihoods allowing posterior credible sets with frequentist validity: Higher-order asymptotics
The Bayesian Lasso
Empirical likelihood ratio confidence intervals for a single functional
Proper likelihoods for Bayesian analysis
Bayesian empirical likelihood
Bayesian Pseudo-Empirical-Likelihood Intervals for Complex Surveys
Use of Model Reparametrization to Improve Variational Bayes
Bayesian Empirical Likelihood Inference with Complex Survey Data
Inference under unequal probability sampling with the Bayesian exponentially tilted empirical likelihood
Frequentist Consistency of Variational Bayes
Bayesian exponentially tilted empirical likelihood
Hamiltonian Monte Carlo Sampling in Bayesian Empirical Likelihood Computation
An Exact Distribution-Free Test Comparing Two Multivariate Distributions based on Adjacency
Monte Carlo sampling methods using Markov chains and their applications
A Stochastic Approximation Method
Data-Driven Confidence Interval Estimation Incorporating Prior Information with an Adjustment for Skewed Data

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