On regression and classification with possibly missing response variables in the data
From MaRDI portal
Publication:6594919
DOI10.1007/s00184-023-00923-3zbMATH Open1544.62238MaRDI QIDQ6594919
Majid Mojirsheibani, Andre Shakhbandaryan, William Pouliot
Publication date: 29 August 2024
Published in: Metrika (Search for Journal in Brave)
Nonparametric regression and quantile regression (62G08) Nonparametric estimation (62G05) Missing data (62D10)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Density-sensitive semisupervised inference
- Fitting time series models for longitudinal surveys with nonignorable missing data
- Risk bounds for statistical learning
- Fast learning rates for plug-in classifiers
- An equivalence theorem for \(L_ 1\) convergence of the kernel regression estimate
- Smooth discrimination analysis
- Empirical likelihood inference in linear regression with nonignorable missing response
- A note on the equivalence of two semiparametric estimation methods for nonignorable nonresponse
- The effects of nonignorable missing data on label-free mass spectrometry proteomics experiments
- A distribution-free theory of nonparametric regression
- Weak convergence and empirical processes. With applications to statistics
- On classification with nonignorable missing data
- On the maximal deviation of kernel regression estimators with NMAR response variables
- Model checking for general linear regression with nonignorable missing response
- Square root penalty: Adaption to the margin in classification and in edge estimation
- Semiparametric inverse propensity weighting for nonignorable missing data
- Empirical likelihood and Wilks phenomenon for data with nonignorable missing values
- On the Rate of Convergence of Local Averaging Plug-In Classification Rules Under a Margin Condition
- A Note About Models for Selectivity Bias
- Global convergence of the recursive kernel regression estimates with applications in classification and nonlinear system estimation
- Estimation With Survey Data Under Nonignorable Nonresponse or Informative Sampling
- Likelihood adjusted for nonignorable missing covariate values with unspecified propensity in generalized linear models
- Rank-based estimating equation with non-ignorable missing responses via empirical likelihood
- Functional Linear Regression Model for Nonignorable Missing Scalar Responses
- Semiparametric maximum likelihood estimation with data missing not at random
- Pseudo likelihood‐based estimation and testing of missingness mechanism function in nonignorable missing data problems
- Sequentially additive nonignorable missing data modelling using auxiliary marginal information
- An instrumental variable approach for identification and estimation with nonignorable nonresponse
- A Semiparametric Estimation of Mean Functionals With Nonignorable Missing Data
- Semiparametric Pseudo-Likelihoods in Generalized Linear Models With Nonignorable Missing Data
- Analytic Inequalities
- A Generalization of Sampling Without Replacement From a Finite Universe
- Bias Reduction in Logistic Regression with Missing Responses When the Missing Data Mechanism is Nonignorable
- A tractable method to account for high-dimensional nonignorable missing data in intensive longitudinal data
This page was built for publication: On regression and classification with possibly missing response variables in the data
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6594919)