Nonparametric multiple regression estimation for circular response
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DOI: 10.1007/s11749-020-00736-w
Abstract: Nonparametric estimators of a regression function with circular response and $${\mathbb {R}}^d$$ -valued predictor are considered in this work. Local polynomial estimators are proposed and studied. Expressions for the asymptotic conditional bias and variance of… read more here.
Keywords: response; circular response; regression estimation; nonparametric multiple ... See more keywords
Kernel regression estimation with errors-in-variables for random fields
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DOI: 10.1007/s13370-019-00654-7
Abstract: In this paper, we investigate kernel regression estimation when the data are contaminated by measurement errors in the context of random fields. We establish sharp rate of weak and strong convergence of the kernel regression… read more here.
Keywords: regression; random fields; kernel regression; regression estimation ... See more keywords
Heterogeneous logistic regression for estimation of subgroup effects on hypertension
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DOI: 10.1080/10543406.2022.2058528
Abstract: ABSTRACT Personalized medicine has gained much attention in the past decades, and identifying the effects of factors is essential for personalized preventions and treatments. Hypertension is a major modifiable risk factor for cardiovascular disease and… read more here.
Keywords: heterogeneous logistic; regression; logistic regression; hypertension ... See more keywords
A New Approach to Censored Quantile Regression Estimation
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DOI: 10.1080/10618600.2017.1385469
Abstract: ABSTRACT Quantile regression provides an attractive tool to the analysis of censored responses, because the conditional quantile functions are often of direct interest in regression analysis, and moreover, the quantiles are often identifiable while the… read more here.
Keywords: quantile regression; regression; regression estimation; censored data ... See more keywords