Polynomial spline estimation of panel count data model with an unknown link function
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Publication:6120364
DOI10.1007/s00362-022-01364-2OpenAlexW4299349559MaRDI QIDQ6120364
Xiao Bing Zhao, Yi Jun Wang, Wei-wei Wang
Publication date: 25 March 2024
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-022-01364-2
Cites Work
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- Single-index quantile regression
- Statistical analysis of panel count data
- Partially varying coefficient single index proportional hazards regression models
- Estimation of semiparametric regression model with longitudinal data
- Single-index partially functional linear regression model
- Semiparametric analysis of panel count data with correlated observation and follow-up times
- Polynomial spline estimation of partially linear single-index proportional hazards regression models
- Semiparametric least squares (SLS) and weighted SLS estimation of single-index models
- B spline variable selection for the single index models
- Two estimators of the mean of a counting process with panel count data.
- Robust estimation of semiparametric transformation model for panel count data
- Missing responses at random in functional single index model for time series data
- Penalized spline estimation for panel count data model with time-varying coefficients
- Local logarithm partial likelihood estimation of panel count data model with an unknown link function
- Robust estimation for panel count data with informative observation times
- Optimal smoothing in single-index models
- Empirical likelihood for single-index models
- Variable selection and estimation for multivariate panel count data via the seamless-${\it L}_{{\rm 0}}$ penalty
- Polynomial Spline Estimation for a Generalized Additive Coefficient Model
- Polynomial Spline Estimation and Inference of Proportional Hazards Regression Models with Flexible Relative Risk Form
- Investigating Smooth Multiple Regression by the Method of Average Derivatives
- Variable selection for the single-index model
- Clustered Mixed Nonhomogeneous Poisson Process Spline Models for the Analysis of Recurrent Event Panel Data
- Regression Parameter Estimation from Panel Counts
- Semiparametric Estimation Methods for Panel Count Data Using MonotoneB-Splines
- Estimation of the mean function with panel count data using monotone polynomial splines
- Estimation for single-index and partially linear single-index integrated models
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