Nonparametric multiple change-point estimation for analyzing large Hi-C data matrices

DOI10.1016/j.jmva.2017.12.005zbMath1397.62186OpenAlexW2779376703MaRDI QIDQ111617

Vincent Brault, Céline Lévy-Leduc, Sarah Ouadah, Laure Sansonnet, Laure Sansonnet, Vincent Brault, Céline Lévy-Leduc, Sarah Ouadah

Publication date: May 2018

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2017.12.005

zbMATH Keywords

nonparametric estimationHi-C datamultiple change-point estimation

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Nonparametric hypothesis testing (62G10) Estimation in multivariate analysis (62H12) Asymptotic properties of nonparametric inference (62G20) Hypothesis testing in multivariate analysis (62H15)

Related Items (3)

A robust bootstrap change point test for high-dimensional location parameter ⋮ Simultaneous multiple change-point and factor analysis for high-dimensional time series ⋮ MuChPoint

Uses Software

• CAPUSHE

Cites Work

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