Profile likelihood inferences on semiparametric varying-coefficient partially linear models

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Publication:850718

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DOI10.3150/bj/1137421639zbMath1098.62077OpenAlexW2094607565MaRDI QIDQ850718

Tao Huang, Jianqing Fan

Publication date: 6 November 2006

Published in: Bernoulli (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.bj/1137421639

zbMATH Keywords

profile likelihood local linear regression Wald statistics partially linear models generalized likelihood ratio statistics varying-coefficient partially linear models

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Nonparametric regression and quantile regression (62G08) Asymptotic distribution theory in statistics (62E20) Linear regression; mixed models (62J05) Hypothesis testing in multivariate analysis (62H15)

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non-stationary time series regression, Efficient estimation of partially linear varying coefficient models, Semiparametric efficient estimation for partially linear single-index models with responses missing at random, Analysis of Poisson varying-coefficient models with autoregression, The Block Empirical Likelihood Method of the Semivarying Coefficient Model with Application to Longitudinal Data, Generalized partially linear varying-coefficient models, Variable selection in semiparametric regression modeling, Nonparametric inference with generalized likelihood ratio tests (With comments and rejoinder), On a Principal Varying Coefficient Model, Influence diagnostics in partially varying-coefficient models, Comparison of Nonparametric Components in Two Partially Linear Models, Empirical Likelihood Inferences for Semiparametric Varying-Coefficient Partially Linear Models with Longitudinal Data, Empirical likelihood for semiparametric varying-coefficient partially linear regression 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Smooth-threshold GEE variable selection for varying coefficient partially linear models with longitudinal data, Empirical likelihood-based inferences in varying coefficient models with missing data, Corrected-loss estimation for error-in-variable partially linear model, The T-type estimate of a class of partially non linear models, Difference-based estimation and model identification for panel data semiparametric models with cross-section dependence, Polynomial Spline Estimation for a Generalized Additive Coefficient Model, Profile Likelihood Inferences on the Partially Linear Model with a Diverging Number of Parameters, Composite quantile regression for varying-coefficient single-index models, Statistical Inference on the Parametric Component in Partially Linear Spatial Autoregressive Models, Semiparametric inference on partially linear single-index model, Robust variable selection and parametric component identification in varying coefficient models, Adaptive-weighted estimation of semi-varying coefficient models with heteroscedastic errors, Segmented Model Selection in Quantile Regression Using the Minimum Description Length Principle, Nonlinear dynamical structural equation models, Testing Serial Correlation in Semiparametric Varying-Coefficient Partially Linear Models, Sparsistent and constansistent estimation of the varying-coefficient model with a diverging number of predictors, Penalized empirical likelihood for high-dimensional partially linear errors-in-function model with martingale difference errors, Estimation of the mixtures of GLMs with covariate-dependent mixing proportions, Semiparametric Quantile Regression Analysis of Right‐censored and Length‐biased Failure Time Data with Partially Linear Varying Effects, Optimal zone for bandwidth selection in semiparametric models, Semiparametric Residuals and Analysis for a Scleroderma Clinical Trial, Bandwidth selection through cross-validation for semi-parametric varying-coefficient partially linear models, Empirical likelihood test for the application of swqmele in fitting an arma‐garch model, Corrected local polynomial estimation in varying-coefficient models with measurement errors, Sequential design for nonparametric inference, Empirical Likelihood for Semiparametric Varying-Coefficient Heteroscedastic Partially Linear Errors-in-Variables Models, Penalised empirical likelihood for semiparametric varying-coefficient partially linear errors-in-variables models, Nonparametric homogeneity pursuit in functional-coefficient models, Interval Estimation by Frequentist Model Averaging, Mixture of Regression Models With Varying Mixing Proportions: A Semiparametric Approach, Two Adjusted Empirical-Likelihood-Based Methods in Generalized Varying-Coefficient Partially Linear Model

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