An overview of semiparametric extensions of finite mixture models
From MaRDI portal
Publication:2292392
DOI10.1214/19-STS698zbMath1429.62272arXiv1811.05575MaRDI QIDQ2292392
Weixin Yao, Guangren Yang, Sijia Xiang
Publication date: 3 February 2020
Published in: Statistical Science (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1811.05575
Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30)
Related Items (9)
Semiparametric finite mixture of regression models with Bayesian P-splines ⋮ On Huber's contaminated model ⋮ Two-sample contamination model test ⋮ Tensor envelope mixture model for simultaneous clustering and multiway dimension reduction ⋮ Semiparametric two-sample admixture components comparison test: the symmetric case ⋮ Semiparametric density testing in the contamination model ⋮ Semiparametric mixture regression with unspecified error distributions ⋮ Semiparametric mixtures of regressions with single-index for model based clustering ⋮ Estimation for a class of semiparametric Pareto mixture densities
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Semiparametric mixture regression with unspecified error distributions
- Semiparametric mixtures of regressions
- Clustering with mixtures of log-concave distributions
- Semiparametric mixtures of regressions with single-index for model based clustering
- Semiparametric mixtures of nonparametric regressions
- Semiparametric estimation of a two-component mixture of linear regressions in which one component is known
- A note on the identifiability of nonparametric and semiparametric mixtures of GLMs
- Mixture of Gaussian regressions model with logistic weights, a penalized maximum likelihood approach
- Semiparametric topographical mixture models with symmetric errors
- Estimation of finite mixtures with symmetric components
- Hypothesis test for normal mixture models: the EM approach
- Mixtures of regressions with changepoints
- Inference for mixtures of symmetric distributions
- A stochastic EM algorithm for a semiparametric mixture model
- Identifiability of parameters in latent structure models with many observed variables
- The geometry of mixture likelihoods: A general theory
- Consistent estimation of a mixing distribution
- Semiparametric least squares (SLS) and weighted SLS estimation of single-index models
- Likelihood ratio tests in contamination models
- Nonparametric estimation of component distributions in a multivariate mixture
- Die Eindeutigkeit der Schrödingerschen Operatoren
- Testing the order of a model using locally conic parametrization: Population mixtures and stationary ARMA processes
- The robust EM-type algorithms for log-concave mixtures of regression models
- Semiparametric mixture: continuous scale mixture approach
- Maximum likelihood estimation of the mixture of log-concave densities
- Mixture of functional linear models and its application to CO\(_2\)-GDP functional data
- Mixtures of quantile regressions
- Revisiting the Hodges-Lehmann estimator in a location mixture model: is asymptotic normality good enough?
- Efficient semiparametric estimation and model selection for multidimensional mixtures
- Maximum smoothed likelihood estimation for a class of semiparametric Pareto mixture densities
- Generalized likelihood ratio statistics and Wilks phenomenon
- Semi-parametric estimation for conditional independence multivariate finite mixture models
- Flexible estimation of a semiparametric two-component mixture model with one parametric component
- Optimal smoothing in single-index models
- Inference for a two-component mixture of symmetric distributions under log-concavity
- Semiparametric two-component mixture model with a known component: an asymptotically normal estimator
- Mixtures of regressions with predictor-dependent mixing proportions
- Estimating the mixing proportion in a semiparametric mixture model
- Semiparametric estimation of a two-component mixture model
- Inference in finite state space non parametric hidden Markov models and applications
- Nonparametric Mixture of Regression Models
- On Efficient Estimators of the Proportion of True Null Hypotheses in a Multiple Testing Setup
- Maximum smoothed likelihood for multivariate mixtures
- Generalized Estimating Equations for Symmetric Distributions Observed with Admixture
- Semiparametric mixture of binomial regression with a degenerate component
- Functional mixture regression
- Detecting the Presence of Mixing with Multiscale Maximum Likelihood
- Semiparametric Two-Component Mixture Models When One Component Is Defined Through Linear Constraints
- Testing for a Finite Mixture Model with Two Components
- Statistical Inference and Applications of Mixture of Varying Coefficient Models
- Mixture of Regression Models With Varying Mixing Proportions: A Semiparametric Approach
- Computation of an efficient and robust estimator in a semiparametric mixture model
- Minimum profile Hellinger distance estimation for a semiparametric mixture model
- Unsupervised learning of regression mixture models with unknown number of components
- Semiparametric location mixtures with distinct components
- Estimation of a semiparametric mixture of regressions model
- Consistent Estimation of the Filtering and Marginal Smoothing Distributions in Nonparametric Hidden Markov Models
- Estimation of a Two-component Mixture Model with Applications to Multiple Testing
- Bandwidth Selection in an EM-Like Algorithm for Nonparametric Multivariate Mixtures
- Semiparametric Mixtures of Symmetric Distributions
- Semiparametric Estimation of a Two‐component Mixture Model where One Component is known
- Computing maximum likelihood estimators of a log-concave density function
- Nonparametric finite translation hidden Markov models and extensions
This page was built for publication: An overview of semiparametric extensions of finite mixture models
