Model averaging estimation for nonparametric varying-coefficient models with multiplicative heteroscedasticity
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Publication:6579382
DOI10.1007/s00362-023-01447-8zbMATH Open1541.62165MaRDI QIDQ6579382
Publication date: 25 July 2024
Published in: Statistical Papers (Search for Journal in Brave)
maximum likelihood estimationprediction errormultiplicative heteroscedasticitymodel averagingB-spline smoothingnonparametric varying-coefficient models
Asymptotic properties of parametric estimators (62F12) Nonparametric regression and quantile regression (62G08) Linear regression; mixed models (62J05)
Cites Work
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- Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation
- Least squares model averaging by Mallows criterion
- Jackknife model averaging
- Estimation of the mean of a multivariate normal distribution
- Estimating the dimension of a model
- Bayesian model averaging: A tutorial. (with comments and a rejoinder).
- Model averaging prediction for nonparametric varying-coefficient models with B-spline smoothing
- Model averaging estimation for varying-coefficient single-index models
- Jackknife model averaging for quantile regressions
- Optimal Weight Choice for Frequentist Model Average Estimators
- Model averaging based on Kullback-Leibler distance
- Model Selection and Model Averaging
- Estimating Regression Models with Multiplicative Heteroscedasticity
- Model Selection: An Integral Part of Inference
- Bayesian Model Averaging for Linear Regression Models
- Frequentist Model Average Estimators
- OPTIMAL MODEL AVERAGING OF VARYING COEFFICIENT MODELS
- A Model-Averaging Approach for High-Dimensional Regression
- Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Varying Coefficient Models
- Optimal Model Averaging Estimation for Partially Linear Models
- A Mallows-Type Model Averaging Estimator for the Varying-Coefficient Partially Linear Model
- Least Squares Model Averaging
- Some Comments on C P
- Generalized Additive Models for Location, Scale and Shape
- Model averaging in a multiplicative heteroscedastic model
- Maximum Likelihood Estimation of Misspecified Models
- A practical guide to splines.
- A new look at the statistical model identification
- Generalized additive models for location, scale and shape for high dimensional data -- a flexible approach based on boosting
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