Gaussian Processes and Bayesian Moment Estimation
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Publication:6617772
DOI10.1080/07350015.2019.1668799zbMATH Open1547.62721MaRDI QIDQ6617772
Jean-Pierre Florens, Anna Simoni
Publication date: 11 October 2024
Published in: Journal of Business and Economic Statistics (Search for Journal in Brave)
Cites Work
- Large Sample Properties of Generalized Method of Moments Estimators
- Empirical likelihood methods with weakly dependent processes
- Divergences and duality for estimation and test under moment condition models
- Posterior consistency of nonparametric conditional moment restricted models
- The semiparametric Bernstein-von Mises theorem
- A review on empirical likelihood methods for regression
- Asymptotic equivalence of empirical likelihood and Bayesian MAP
- Point estimation with exponentially tilted empirical likelihood
- Asymptotic Bayesian analysis based on a limited information estimator
- Empirical likelihood and general estimating equations
- An MCMC approach to classical estimation.
- Limited information likelihood and Bayesian analysis
- Bayesian and classical approaches to instrumental variable regression
- Empirical likelihood
- Regularizing priors for linear inverse problems
- Regularized Posteriors in Linear Ill-Posed Inverse Problems
- Moment Conditions and Bayesian Non-Parametrics
- Bayesian Estimation and Comparison of Moment Condition Models
- Empirical likelihood ratio confidence intervals for a single functional
- Generalized Instrumental Variables Estimation of Nonlinear Rational Expectations Models
- An Information-Theoretic Alternative to Generalized Method of Moments Estimation
- One-Step Estimators for Over-Identified Generalized Method of Moments Models
- Bayesian empirical likelihood
- Bayesian Pseudo-Empirical-Likelihood Intervals for Complex Surveys
- Bayesian exponentially tilted empirical likelihood
- Hamiltonian Monte Carlo Sampling in Bayesian Empirical Likelihood Computation
- Higher Order Properties of Gmm and Generalized Empirical Likelihood Estimators
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