Convergence of posterior distribution in the mixture of regressions
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Publication:3521114
DOI10.1080/10485250802018303zbMath1142.62032OpenAlexW1964404172MaRDI QIDQ3521114
Publication date: 27 August 2008
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485250802018303
convergence rateslogistic regressionPoisson regressionbinary regressionposterior consistencybracketing entropyGaussian regression
Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Bayesian inference (62F15)
Related Items (3)
Mixture of Gaussian regressions model with logistic weights, a penalized maximum likelihood approach ⋮ Sharp bounds on distribution functions and expectations of mixtures of ordered families of distributions ⋮ Posterior consistency of random effects models for binary data
Cites Work
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- Weak convergence and empirical processes. With applications to statistics
- On Consistency of Bayesian Inference with Mixtures of Logistic Regression
- Bayesian Inference in Mixtures-of-Experts and Hierarchical Mixtures-of-Experts Models With an Application to Speech Recognition
- Practical Bayesian Density Estimation Using Mixtures of Normals
- Bayesian Analysis of Poisson Mixtures
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