Semiparametric Estimation of a Two‐component Mixture Model where One Component is known
From MaRDI portal
Publication:5430618
DOI10.1111/j.1467-9469.2006.00515.xzbMath1164.62331OpenAlexW2073667121MaRDI QIDQ5430618
Laurent Bordes, Céline Delmas, Pierre Vandekerkhove
Publication date: 16 December 2007
Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://hal.inrae.fr/hal-02660862/file/22907_20081009040749465_1.pdf
Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)
Related Items (29)
Statistics of mixtures with varying concentrations with application to DNA microarray data analysis ⋮ A two-component nonparametric mixture model with stochastic dominance ⋮ Inference in finite state space non parametric hidden Markov models and applications ⋮ Semiparametric location mixtures with distinct components ⋮ Estimation of a semiparametric mixture of regressions model ⋮ Maximum likelihood estimation of the mixture of log-concave densities ⋮ Semiparametric estimation of a two-component mixture of linear regressions in which one component is known ⋮ Adaptive estimation in the supremum norm for semiparametric mixtures of regressions ⋮ Lower bound for a dispersion matrix for the semiparametric estimation in a model of mixtures ⋮ Semiparametric modelling of two-component mixtures with stochastic dominance ⋮ Predictors with measurement error in mixtures of polynomial regressions ⋮ Two-sample contamination model test ⋮ Statistical estimation for reflected skew processes ⋮ Nonparametric density estimation for symmetric distributions by contaminated data ⋮ Generalized EM estimation for semi-parametric mixture distributions with discretized non-parametric component ⋮ Semiparametric two-component mixture model with a known component: an asymptotically normal estimator ⋮ Some Algorithms to Fit some Reliability Mixture Models under Censoring ⋮ An MM algorithm for estimation of a two component semiparametric density mixture with a known component ⋮ Semiparametric two-sample admixture components comparison test: the symmetric case ⋮ Minimum profile Hellinger distance estimation for a semiparametric mixture model ⋮ Adaptive estimation for a semiparametric model of mixture ⋮ Semiparametric density testing in the contamination model ⋮ An overview of semiparametric extensions of finite mixture models ⋮ A semiparametric mixture method for local false discovery rate estimation from multiple studies ⋮ A stochastic EM algorithm for a semiparametric mixture model ⋮ Estimation for a class of semiparametric Pareto mixture densities ⋮ Empirical Bayesian classification for observations with admixture ⋮ Generalized estimating equations for mixtures with varying concentrations ⋮ Flexible estimation of a semiparametric two-component mixture model with one parametric component
Cites Work
- Unnamed Item
- Unnamed Item
- Inference for mixtures of symmetric distributions
- Nonparametric estimation of component distributions in a multivariate mixture
- Empirical likelihood ratio based confidence intervals for mixture proportions
- Analyzing Microarray Gene Expression Data
- Estimation Problems with Data from a Mixture
- Nonparametric estimation in semi-parametric univariate mixture models
- Semiparametric Likelihood Based Method for Goodness of Fit Tests and Estimation in Upgraded Mixture Models
- Correction of Density Estimators that are not Densities
This page was built for publication: Semiparametric Estimation of a Two‐component Mixture Model where One Component is known