Counting labeled transitions in continuous-time Markov models of evolution

DOI10.1007/s00285-007-0120-8zbMath1145.60323OpenAlexW2001363675WikidataQ51905792 ScholiaQ51905792MaRDI QIDQ938141

Vladimir N. Minin, Marc A. Suchard

Publication date: 18 August 2008

Published in: Journal of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00285-007-0120-8

zbMATH Keywords

evolutioncontinuous-time Markov chainscounting processesphylogenetics

Mathematics Subject Classification ID

Problems related to evolution (92D15) Protein sequences, DNA sequences (92D20) Continuous-time Markov processes on discrete state spaces (60J27)

Related Items (8)

A novel empirical mutual information approach to identify co-evolving amino acid positions of influenza A viruses ⋮ Statistics of transitions for Markov chains with periodic forcing ⋮ Fitting birth-death processes to panel data with applications to bacterial DNA fingerprinting ⋮ Simulation from endpoint-conditioned, continuous-time Markov chains on a finite state space, with applications to molecular evolution ⋮ Estimating phylogenetic trees from pairwise likelihoods and posterior probabilities of substitution counts ⋮ Likelihood-based inference for discretely observed birth-death-shift processes, with applications to evolution of mobile genetic elements ⋮ Estimation for General Birth-Death Processes ⋮ Summary Statistics for Endpoint-Conditioned Continuous-Time Markov Chains

Uses Software

• fastDNAml
• Seq-Gen

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