Asymmetry tests for Bifurcating Auto-Regressive Processes with missing data - Archive ouverte HAL
Article Dans Une Revue Statistics and Probability Letters Année : 2012

Asymmetry tests for Bifurcating Auto-Regressive Processes with missing data

Résumé

We present symmetry tests for bifurcating autoregressive processes (BAR) when some data are missing. BAR processes typically model cell division data. Each cell can be of one of two types \emph{odd} or \emph{even}. The goal of this paper is to study the possible asymmetry between odd and even cells in a single observed lineage. We first derive asymmetry tests for the lineage itself, modeled by a two-type Galton-Watson process, and then derive tests for the observed BAR process. We present applications on both simulated and real data.

Dates et versions

hal-00662129 , version 1 (23-01-2012)

Identifiants

Citer

Benoîte de Saporta, Anne Gégout-Petit, Laurence Marsalle. Asymmetry tests for Bifurcating Auto-Regressive Processes with missing data. Statistics and Probability Letters, 2012, 82 (7), pp.1439-1444. ⟨10.1016/j.spl.2012.04.003⟩. ⟨hal-00662129⟩
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