Adaptive estimation in the supremum norm for semiparametric mixtures of regressions
DOI10.1214/20-EJS1699zbMath1440.62279OpenAlexW3018291771MaRDI QIDQ2180080
Hajo Holzmann, Pierre Vandekerkhove, Heiko Werner
Publication date: 13 May 2020
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ejs/1587693633
switching regressionadaptive estimationsemiparametric mixtureM-estimationuniform rates of convergence
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10)
Uses Software
Cites Work
- Unnamed Item
- Semiparametric mixtures of regressions
- Semiparametric estimation of a two-component mixture of linear regressions in which one component is known
- Anti-concentration and honest, adaptive confidence bands
- Semiparametric topographical mixture models with symmetric errors
- \(\ell_{1}\)-penalization for mixture regression models
- Mixtures of linear regressions
- Optimal pointwise adaptive methods in nonparametric estimation
- Optimal global rates of convergence for nonparametric regression
- On adaptive estimation for the sup-norm losses
- Weak convergence and empirical processes. With applications to statistics
- Semiparametric two-component mixture model with a known component: an asymptotically normal estimator
- Nonparametric Mixture of Regression Models
- Asymptotically Minimax Adaptive Estimation. I: Upper Bounds. Optimally Adaptive Estimates
- Estimating Mixtures of Normal Distributions and Switching Regressions
- Hypothesis Testing in Mixture Regression Models
- Mixture of Regression Models With Varying Mixing Proportions: A Semiparametric Approach
- Using Mixtures in Econometric Models: A Brief Review and Some New Results
- Semiparametric location mixtures with distinct components
- Estimation of a semiparametric mixture of regressions model
- Semiparametric Mixtures of Symmetric Distributions
- Semiparametric Estimation of a Two‐component Mixture Model where One Component is known
This page was built for publication: Adaptive estimation in the supremum norm for semiparametric mixtures of regressions