9 Result(s)
within
**gzhan Zhang
Mathematics
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Article
A Nonparametric Model Checking Test for Functional Linear Composite Quantile Regression Models
This paper is focused on the goodness-of-fit test of the functional linear composite quantile regression model. A nonparametric test is proposed by using the orthogonality of the residual and its conditional e...
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Article
Local Influence Detection of Conditional Mean Dependence
This article is focused on the problem to measure and test the conditional mean dependence of a response variable on a predictor variable. A local influence detection approach is developed combining with the m...
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Article
Statistical inference in the partial functional linear expectile regression model
As extensions of means, expectiles embrace all the distribution information of a random variable. The expectile regression is computationally friendlier because the asymmetric least square loss function is dif...
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Article
An Alternative Doubly Robust Estimation in Causal Inference Model
Doubly robust (DR) methods that employ both the propensity score and outcome models are widely used to estimate the causal effect of a treatment and generally outperform those methods only using the propensity...
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Article
Estimation in Partially Observed Functional Linear Quantile Regression
Currently, working with partially observed functional data has attracted a greatly increasing attention, since there are many applications in which each functional curve may be observed only on a subset of a c...
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Article
A Constrained Interval-Valued Linear Regression Model: A New Heteroscedasticity Estimation Method
Linear regression models for interval-valued data have been widely studied. Most literatures are to split an interval into two real numbers, i.e., the left- and right-endpoints or the center and radius of this...
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Article
Randomized statistical inference: A unified statistical inference frame of frequentist, fiducial, and Bayesian inference
We propose randomized inference (RI), a new statistical inference approach. RI may be realized through a randomized estimate (RE) of a parameter vector, which is a random vector that takes values in the parame...
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Article
Semiparametric analysis of isotonic errors-in-variables regression models with randomly right censored response
This paper considers the estimation of a semiparametric isotonic regression model when the covariates are measured with additive errors and the response is randomly right censored by a censoring time. The auth...
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Article
Simultaneous variable selection for heteroscedastic regression models
In this paper, we propose a new criterion, named PICa, to simultaneously select explanatory variables in the mean model and variance model in heteroscedastic linear models based on the model structure. We show...
