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Article
Open AccessWeighting estimation under bipartite incidence graph sampling
Bipartite incidence graph sampling provides a unified representation of many sampling situations for the purpose of estimation, including the existing unconventional sampling methods, such as indirect, network...
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Article
Design-Unbiased Statistical Learning in Survey Sampling
Design-consistent model-assisted estimation has become the standard practice in survey sampling. However, design consistency remains to be established for many machine-learning techniques that can potentially ...
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Article
Open AccessMulticlass analysis and prediction with network structured covariates
Technological advances associated with data acquisition are leading to the production of complex structured data sets. The recent development on classification with multiclass responses makes it possible to in...
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Article
Partial linear single index models with distortion measurement errors
We study partial linear single index models when the response and the covariates in the parametric part are measured with errors and distorted by unknown functions of commonly observable confounding variables,...
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Article
Local linear M-estimation for spatial processes in fixed-design models
We investigate the local linear M-estimation for regression in a fixed-design model when the errors are from a strongly mixing random field. We establish the weak and strong consistency as well as the asymptot...
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Article
The Limit Distribution of the Bootstrap for the Unit Root Test Statistic when the Residuals are Dependent
In this article, the unit root test for the AR(1) model with dependent residuals is considered. We adopt a bootstrap procedure to bootstrap the residuals with bootstrap sample size m less than the size n of the o...
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Article
A Nonclassical Law of the Iterated Logarithm for Functions of Positively Associated Random Variables
Let \(\{X_{n}; n\geq 1\}\) be a sequence of stationary positively associated random variables and a sequence of posit...