Segmentation of the Poisson and negative binomial rate models: a penalized estimator

DOI10.1051/ps/2014005zbMath1310.62041arXiv1301.2534OpenAlexW2101563170MaRDI QIDQ5174379

Alice Cleynen, Emilie Lebarbier

Publication date: 17 February 2015

Published in: ESAIM: Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1301.2534

zbMATH Keywords

model selectionchange-point detectiondistribution estimationPoisson and negative binomial distributionscount data (RNA-seq)

Mathematics Subject Classification ID

Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

Related Items (7)

Piecewise autoregression for general integer-valued time series ⋮ Unnamed Item ⋮ Consistent model selection procedure for general integer-valued time series ⋮ Comparing segmentation methods for genome annotation based on RNA-seq data ⋮ A Kernel Multiple Change-point Algorithm via Model Selection ⋮ New efficient algorithms for multiple change-point detection with reproducing kernels ⋮ Compound Poisson point processes, concentration and oracle inequalities

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