Nonparametric multiple change-point estimation for analyzing large Hi-C data matrices
نویسندگان
چکیده
منابع مشابه
Nonparametric homogeneity tests and multiple change-point estimation for analyzing large Hi-C data matrices
We propose a novel nonparametric approach for estimating the location of block boundaries (change-points) of non-overlapping blocks in a random symmetric matrix which consists of random variables having their distribution changing from one block to the other. Our method is based on a nonparametric two-sample homogeneity test for matrices that we extend to the more general case of several groups...
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ژورنال
عنوان ژورنال: Journal of Multivariate Analysis
سال: 2018
ISSN: 0047-259X
DOI: 10.1016/j.jmva.2017.12.005