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Article
Rank-based instrumental variable estimation for semiparametric varying coefficient spatial autoregressive models
In this paper, it is aim to propose an instrumental variable rank estimation method for varying coefficient spatial autoregressive models. The newly proposed method provides a highly efficient and robust alter...
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Article
Testing independence and goodness-of-fit jointly for functional linear models
A conventional regression model for functional data involves expressing a response variable in terms of the predictor function. Two assumptions, that (i) the predictor function and the error are independent an...
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Article
Testing linearity in partial functional linear quantile regression model based on regression rank scores
This paper investigates the hypothesis test of the parametric component in partial functional linear quantile regression model in which the dependent variable is related to both a vector of finite length and a...
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Article
Statistical inference for the functional quadratic quantile regression model
In this paper, we develop statistical inference procedures for functional quadratic quantile regression model in which the response is a scalar and the predictor is a random function defined on a compact set of R
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Article
Single-index partially functional linear regression model
In this paper, we propose a flexible single-index partially functional linear regression model, which combines single-index model with functional linear regression model. All the unknown functions are estimate...
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Article
A nonparametric inverse probability weighted estimation for functional data with missing response data at random
This paper considers the nonparametric inverse probability weighted estimation for functional data with missing response data at random. Under mild conditions, the asymptotic properties of the proposed estimat...
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Article
Dynamic partially functional linear regression model
In this paper, we develop a dynamic partially functional linear regression model in which the functional dependent variable is explained by the first order lagged functional observation and a finite number of ...
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Article
Composite quantile estimation in partial functional linear regression model with dependent errors
In this paper, we consider composite quantile estimation for the partial functional linear regression model with errors from a short-range dependent and strictly stationary linear processes. The functional pri...
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Article
Robust exponential squared loss-based estimation in semi-functional linear regression models
In this paper, we present a new robust estimation procedure for semi-functional linear regression models by using exponential squared loss. The outstanding advantage of the proposed method is the resulting est...
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Article
Varying-coefficient partially functional linear quantile regression models
In this paper, we introduce a new varying-coefficient partially functional linear quantile regression model, which combines varying-coefficient quantile regression model with functional linear quantile regress...
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Article
Focused information criterion and model averaging in censored quantile regression
In this paper, we study model selection and model averaging for quantile regression with randomly right censored response. We consider a semi-parametric censored quantile regression model without distribution ...
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Article
A test of linearity in partial functional linear regression
This paper investigates the hypothesis test of the parametric component in partial functional linear regression. We propose a test procedure based on the residual sums of squares under the null and alternative...
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Article
Convex analysis in the semiparametric model with Bernstein polynomials
In this paper, we propose Bernstein polynomial estimation for the partially linear model when the nonparametric component is subject to convex (or concave) constraint. We employ a nested sequence of Bernstein ...
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Article
Asymptotic infimum coverage probability for interval estimation of proportions
In this paper, we discuss asymptotic infimum coverage probability (ICP) of eight widely used confidence intervals for proportions, including the Agresti–Coull (A–C) interval (Am Stat 52:119–126, 1998) and the Clo...
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Article
Variable selection in high-dimensional double generalized linear models
In this paper we are concerned with the problems of variable selection and estimation in double generalized linear models in which both the mean and the dispersion are allowed to depend on explanatory variable...