A Bayesian approach for locating change points in a compound Poisson process with application to detecting DNA copy number variations

DOI10.1080/02664763.2013.840272OpenAlexW1972085572MaRDI QIDQ5128589

Jie Chen, Paul Plummer

Publication date: 28 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2013.840272

zbMATH Keywords

Bayesian inferencecompound Poisson processnon-informative priorschange pointDNA copy numbersaCGH data

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Change-point detection for Lévy processes

Uses Software

• ChromoScan

Cites Work

• On tests for detecting change in mean
• Bayesian methods for change-point detection in long-range dependent processes
• A Bayesian Analysis of a Switching Regression Model: Known Number of Regimes
• Parameter changes in the multiple regression model with autocorrelated errors : Bayesian analysis
• Clustering of Translocation Breakpoints
• A Bayesian approach to inference about a change point model with application to DNA copy number experimental data
• A hierarchical clustering method for estimating copy number variation
• Circular binary segmentation for the analysis of array-based DNA copy number data
• Denoising array-based comparative genomic hybridization data using wavelets

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