Stochastic approximation and Newton's estimate of a mixing distribution
From MaRDI portal
Publication:908149
DOI10.1214/08-STS265zbMath1329.62361arXiv1102.3592MaRDI QIDQ908149
Publication date: 3 February 2016
Published in: Statistical Science (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1102.3592
Related Items
Consistency of a recursive estimate of mixing distributions, Convergence of an iterative algorithm to the nonparametric MLE of a mixing distribution, On Recursive Bayesian Predictive Distributions, A semiparametric scale-mixture regression model and predictive recursion maximum likelihood, Convergence rate for predictive recursion estimation of finite mixtures, Revisiting consistency of a recursive estimator of mixing distributions, Dempster-Shafer theory and statistical inference with weak beliefs, An exact predictive recursion for Bayesian nonparametric analysis of incomplete data, Asymptotic properties of predictive recursion: robustness and rate of convergence, A class of measure-valued Markov chains and Bayesian nonparametrics, A Laplace transform inversion method for probability distribution functions, An Approximate Bayesian Marginal Likelihood Approach for Estimating Finite Mixtures, A survey of nonparametric mixing density estimation via the predictive recursion algorithm, Asymptotically Optimal Nonparametric Empirical Bayes Via Predictive Recursion, Estimating a mixing distribution on the sphere using predictive recursion
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Equi-energy sampler with applications in statistical inference and statistical mechanics
- Stability by Liapunov's direct method. With applications
- On the optimal rates of convergence for nonparametric deconvolution problems
- Consistency of a recursive estimate of mixing distributions
- I-divergence geometry of probability distributions and minimization problems
- A mixture model approach for the analysis of microarray gene expression data.
- Posterior consistency of Dirichlet mixtures in density estimation
- Convergence of a stochastic approximation version of the EM algorithm
- Nonparametric hierarchical Bayes via sequential imputations
- Entropies and rates of convergence for maximum likelihood and Bayes estimation for mixtures of normal densities.
- Bayesian nonparametrics
- Consistency and identifiability revisited
- The consistency of posterior distributions in nonparametric problems
- An exploration of aspects of Bayesian multiple testing
- A recursive algorithm for nonparametric analysis with missing data
- Empirical Bayes Analysis of a Microarray Experiment
- Adaptive Markov Chain Monte Carlo through Regeneration
- Stochastic Approximation in Monte Carlo Computation
- Stability of Stochastic Approximation under Verifiable Conditions
- Nonparametric Bayesian Estimation of Positive False Discovery Rates
- Identifiability of Finite Mixtures
- The Empirical Bayes Approach to Statistical Decision Problems
- A Stochastic Approximation Method
- An adaptive Metropolis algorithm