Mallows model averaging based on kernel regression imputation with responses missing at random
From MaRDI portal
Publication:6541929
DOI10.1016/j.jspi.2023.106130MaRDI QIDQ6541929
Publication date: 21 May 2024
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Focused vector information criterion model selection and model averaging regression with missing response
- Least squares model averaging by Mallows criterion
- Regression with imputed covariates: a generalized missing-indicator approach
- Jackknife model averaging
- Rate of uniform consistency for nonparametric estimates with functional variables
- Estimating the dimension of a model
- Model selection and model averaging after multiple imputation
- Model averaging estimator in ridge regression and its large sample properties
- Model averaging for linear models with responses missing at random
- Corrected Mallows criterion for model averaging
- Model averaging estimation of generalized linear models with imputed covariates
- On the adaptive elastic net with a diverging number of parameters
- Model averaging by jackknife criterion in models with dependent data
- Frequentist model averaging with missing observations
- Model averaging with covariates that are missing completely at random
- Cross-validation-based model averaging in linear models with response missing at random
- Optimal Weight Choice for Frequentist Model Average Estimators
- Approximation Theorems of Mathematical Statistics
- Nonparametric Estimation of Mean Functionals with Data Missing at Random
- Model Selection: An Integral Part of Inference
- Adaptive Regression by Mixing
- Frequentist Model Average Estimators
- Efficient Robust Estimation for Linear Models with Missing Response at Random
- Statistical Analysis with Missing Data, Third Edition
- Heteroscedasticity‐robustCpmodel averaging
- A Semiparametric Estimation of Mean Functionals With Nonignorable Missing Data
- Least Squares Model Averaging
- Asymptotic Properties of Maximum Likelihood Estimators for the Independent Not Identically Distributed Case
- Some Comments on C P
- Combining Linear Regression Models
- Model averaging based on leave-subject-out cross-validation
- Bayesian Model Averaging: A Systematic Review and Conceptual Classification
- Multinomial logistic regression with missing outcome data: an application to cancer subtypes
- Evaluation of predictive model performance of an existing model in the presence of missing data
- Model Averaging for Prediction With Fragmentary Data
This page was built for publication: Mallows model averaging based on kernel regression imputation with responses missing at random