Quantile regression for varying-coefficient partially nonlinear models with randomly truncated data

Hong‐Xia Xu; Guoliang Fan; Han‐Ying Liang

doi:10.1007/s00362-023-01498-x

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Quantile regression for varying-coefficient partially nonlinear models with randomly truncated data

Hong‐Xia Xu Guoliang Fan Han‐Ying Liang

Year: 2023 Journal: Statistical Papers Vol: 65 (4)Pages: 2567-2604 Publisher: Springer Science+Business Media

DOI: 10.1007/s00362-023-01498-x

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Keywords:

Mathematics Quantile Estimator Applied mathematics Lasso (programming language) Test statistic Asymptotic distribution Parametric statistics Statistics Statistical hypothesis testing Computer science

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Advanced Statistical Methods and Models

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Quantile regression for varying-coefficient partially nonlinear models with randomly truncated data

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