Multiple‐Changepoint Testing for an Alternating Segments Model of a Binary Sequence

DOI10.1111/j.0006-341X.2000.00903.xzbMath1060.62620OpenAlexW2052704952WikidataQ74310679 ScholiaQ74310679MaRDI QIDQ4670438

Aaron L. Halpern

Publication date: 22 April 2005

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.0006-341x.2000.00903.x

zbMATH Keywords

Monte CarloHIVrecombinationBernoulli random variablesmultiple changepoint

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of mathematical programming (90C90) Dynamic programming (90C39) Testing in survival analysis and censored data (62N03)

Related Items (4)

Convergence in distribution of multiple change point estimators ⋮ Asymptotic properties of maximum likelihood estimators in models with multiple change points ⋮ Maximally selected chi-squared statistics and non-monotonic associations: an exact approach based on two cutpoints ⋮ Fitting multiple change-point models to data

Cites Work

• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• Finding multiple abrupt change points
• Algorithms for the optimal identification of segment neighborhoods
• Stochastic models for heterogeneous DNA sequences
• Maximum likelihood estimation of multiple change points
• Minimally Selected P and Other Tests for A Single Abrupt Changepoint in A Binary Sequence

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