Weighted rank estimation for nonparametric transformation models with nonignorable missing data
type: Item
instance of: scholarly article
title: Weighted rank estimation for nonparametric transformation models with nonignorable missing data
author: N. E. Zubov
published in: Computational Statistics and Data Analysis
publication date: 2021-05-07T00:00:00Z
Mathematics Subject Classification ID: 62-XX
zbMATH DE Number: 7345907
zbMATH Keywords: log-concave error density
zbMATH Keywords: nonignorable missing data
zbMATH Keywords: resampling method
zbMATH Keywords: transformation model
zbMATH Keywords: weighted rank estimators
MaRDI profile type: Publication
full work available at URL: j.csda.2020.107061
OpenAlex ID: W3048628451
cites work: Rank estimation of a transformation model with observed truncation
cites work: Q3134299
cites work: Rank estimators for monotonic index models
cites work: A new instrumental method for dealing with endogenous selection
cites work: Likelihood adjusted for nonignorable missing covariate values with unspecified propensity in generalized linear models
cites work: Non-parametric analysis of a generalized regression model. The maximum rank correlation estimator
cites work: Semiparametric Estimation of a Regression Model with an Unknown Transformation of the Dependent Variable
cites work: Semiparametric least squares (SLS) and weighted SLS estimation of single-index models
cites work: A propensity score adjustment method for regression models with nonignorable missing covariates
cites work: A simple resampling method by perturbing the minimand
cites work: Likelihood Methods and Nonparametric Tests
cites work: A Semiparametric Estimation of Mean Functionals With Nonignorable Missing Data
cites work: Regression Analysis Under Non-standard Situations: A Pairwise Pseudolikelihood Approach
cites work: OUP accepted manuscript
cites work: Q4779059
cites work: On varieties of doubly robust estimators under missingness not at random with a shadow variable
cites work: Identification and Inference With Nonignorable Missing Covariate Data
cites work: U-processes: Rates of convergence
cites work: Q5652137
cites work: Recent progress in log-concave density estimation
cites work: The Limiting Distribution of the Maximum Rank Correlation Estimator
cites work: Maximal inequalities for degenerate \(U\)-processes with applications to optimization estimators
cites work: Analysis of multivariate missing data with nonignorable nonresponse
cites work: A note on iterative marginal optimization: a simple algorithm for maximum rank correlation estimation
cites work: An instrumental variable approach for identification and estimation with nonignorable nonresponse
cites work: Coordinate descent algorithms
cites work: Semiparametric Pseudo-Likelihoods in Generalized Linear Models With Nonignorable Missing Data
cites work: Penalized pairwise pseudo likelihood for variable selection with nonignorable missing data
DOI: 10.1016/J.CSDA.2020.107061
description: scientific article; zbMATH DE number 7345907