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Dependence of variance on covariate design in nonparametric link regression

Statistics and Probability Letters (2023) 193
DOI: 10.1016/j.spl.2022.109716
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Abstract

This paper discusses a design-dependent nature of variance in nonparametric link regression aiming at predicting a mean outcome at a link, i.e., a pair of nodes, based on currently observed data comprising covariates at nodes and outcomes at links.

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Okuno, A., & Yano, K. (2023). Dependence of variance on covariate design in nonparametric link regression. Statistics and Probability Letters, 193. https://doi.org/10.1016/j.spl.2022.109716

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