A NEW STUDY ON ASYMPTOTIC OPTIMALITY OF LEAST SQUARES MODEL AVERAGING
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Publication:4993892
DOI10.1017/S0266466620000055zbMath1467.62067OpenAlexW3016971689MaRDI QIDQ4993892
Publication date: 11 June 2021
Published in: Econometric Theory (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1017/s0266466620000055
Asymptotic properties of nonparametric inference (62G20) Nonparametric statistical resampling methods (62G09)
Related Items (5)
Mallows model averaging with effective model size in fragmentary data prediction ⋮ AN ASYMPTOTIC THEORY FOR LEAST SQUARES MODEL AVERAGING WITH NESTED MODELS ⋮ Optimal model averaging based on forward-validation ⋮ Model averaging for estimating treatment effects ⋮ Least squares model averaging for two non-nested linear models
Uses Software
Cites Work
- Prediction model averaging estimator
- Least squares model averaging by Mallows criterion
- Jackknife model averaging
- Asymptotic optimality of generalized \(C_ L\), cross-validation, and generalized cross-validation in regression with heteroskedastic errors
- Toward optimal model averaging in regression models with time series errors
- Asymptotic optimality for \(C_ p\), \(C_ L\), cross-validation and generalized cross-validation: Discrete index set
- Heteroscedasticity-robust model screening: a useful toolkit for model averaging in big data analytics
- Functional aggregation for nonparametric regression.
- Frequentist model averaging for threshold models
- Model averaging by jackknife criterion in models with dependent data
- Adaptively combined forecasting for discrete response time series
- Model averaging based on Kullback-Leibler distance
- Constructing Optimal Instruments by First-Stage Prediction Averaging
- On moments of quadratic forms in non-spherically distributed variables
- Model averaging, asymptotic risk, and regressor groups
- COMBINING FORECASTING PROCEDURES: SOME THEORETICAL RESULTS
- A Model-Averaging Approach for High-Dimensional Regression
- Heteroscedasticity‐robustCpmodel averaging
- Variable Selection for Logistic Regression Using a Prediction‐Focused Information Criterion
- Least Squares Model Averaging
- Linear Statistical Inference and its Applications
- Combining Linear Regression Models
- Generalized Least Squares Model Averaging
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