The Hájek asymptotics for finite population sampling and their ramifications
Kendall's tau-type rank statistics in genome data
High-dimensional data models abound in genomics studies, where often inadequately small sample sizes create impasses for incorporation of standard statistical tools. Conventional assumptions of linearity of regression, homoscedasticity and (multi-) normality of errors may not be tenable in many such interdisciplinary setups. In this study, Kendall's tau-type rank statistics are employed for statistical inference, avoiding most of parametric assumptions to a greater extent. The proposed procedures...
An extension of Billingsley’s uniform boundedness theorem to higher-dimensional -processes
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