Nonparametric Mixture of Regression Models
From MaRDI portal
Publication:2861807
DOI10.1080/01621459.2013.772897OpenAlexW2142899013WikidataQ37398652 ScholiaQ37398652MaRDI QIDQ2861807
Mian Huang, Shaoli Wang, Run-Ze Li
Publication date: 11 November 2013
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc3865811
Related Items
A skew-normal mixture of joint location, scale and skewness models, Nonparametric modal regression, Mixture regression for longitudinal data based on joint mean-covariance model, Semiparametric hidden Markov model with non-parametric regression, Penalized proportion estimation for non parametric mixture of regressions, Nonparametric K-means algorithm with applications in economic and functional data, Estimation and inference for mixture of partially linear additive models, Localized mixture models for prediction with application, Robust mixture multivariate linear regression by multivariate Laplace distribution, Adaptive estimation in the supremum norm for semiparametric mixtures of regressions, A note on the identifiability of nonparametric and semiparametric mixtures of GLMs, Clustering via finite nonparametric ICA mixture models, Uniform consistency in nonparametric mixture models, Finite mixture of varying coefficient model: estimation and component selection, Semiparametric finite mixture of regression models with Bayesian P-splines, Statistical inference for the nonparametric and semiparametric hidden Markov model via the composite likelihood approach, Mixture of Gaussian regressions model with logistic weights, a penalized maximum likelihood approach, Prediction with a flexible finite mixture-of-regressions, Non parametric mixture of strictly monotone regression models, Semiparametric mixture of additive regression models, Model-based clustering with envelopes, Heteroscedastic Laplace mixture of experts regression models and applications, An overview of semiparametric extensions of finite mixture models, Semiparametric mixture regression with unspecified error distributions, Semiparametric mixtures of regressions with single-index for model based clustering, Semiparametric mixtures of nonparametric regressions, A mixture of linear-linear regression models for a linear-circular regression, Estimation of the mixtures of GLMs with covariate-dependent mixing proportions, A semiparametric mixture regression model for longitudinal data
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Consistent estimation of a mixing distribution
- A Markov model for switching regressions
- A bandwidth selector for local linear density estimators
- Identifiability of models for clusterwise linear regression
- Generalized likelihood ratio statistics and Wilks phenomenon
- A Modified Likelihood Ratio Test for Homogeneity in Finite Mixture Models
- Bayesian Statistics and Marketing
- Mixed Poisson Regression Models with Covariate Dependent Rates
- Hidden Markov Models and Disease Mapping
- Dealing With Label Switching in Mixture Models
- Markov chain Monte Carlo Estimation of Classical and Dynamic Switching and Mixture Models
- Mixture of Regression Models With Varying Mixing Proportions: A Semiparametric Approach
- Bayesian Mixture Labeling by Highest Posterior Density
- Testing the Order of a Finite Mixture