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stat.ME2018
Regression Analyses of Distributions using Quantile Functional Regression
Hojin Yang, Veerabhadran Baladandayuthapani, Arvind U. K. Rao +1
Radiomics involves the study of tumor images to identify quantitative markers explaining cancer heterogeneity. The predominant approach is to extract hundreds to thousands of image…
stat.ME2018
Function-on-Scalar Quantile Regression with Application to Mass Spectrometry Proteomics Data
Yusha Liu, Meng Li, Jeffrey S. Morris
Mass spectrometry proteomics, characterized by spiky, spatially heterogeneous functional data, can be used to identify potential cancer biomarkers. Existing mass spectrometry analy…
stat.ME2017
Quantile Functional Regression using Quantlets
Hojin Yang, Veerabhadran Baladandayuthapani, Jeffrey S. Morris
In this paper, we develop a quantile functional regression modeling framework that models the distribution of a set of common repeated observations from a subject through the quant…