Identifying Markov chain models from time-to-event data: an algebraic approach
From MaRDI portal
Publication:6661650
DOI10.1007/S11538-024-01385-YMaRDI QIDQ6661650
Dima Grigoriev, Edouard Bertrand, Matthias Seiß, Mounia Lagha, Ovidiu Radulescu, Maria Douaihy
Publication date: 13 January 2025
Published in: Bulletin of Mathematical Biology (Search for Journal in Brave)
inverse problemMarkov chainsphase-type distributionsymmetric polynomialsThomas decompositiontranscriptional bursting
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Algorithmic Thomas decomposition of algebraic and differential systems
- Mixture distributions in a stochastic gene expression model with delayed feedback: a WKB approximation approach
- Singularities of algebraic differential equations
- Phase-type distributions in population genetics
- Phase-type distribution approximations of the waiting time until coordinated mutations get fixed in a population
- On non-uniqueness of representations of phase-type distributions
- The algebraic construction of phase-type distributions
- Phase-type distributions and representations: Some results and open problems for system theory
- An invariant of representations of phase-type distributions and some applications
- Fitting combinations of exponentials to probability distributions
- A Review on Phase-type Distributions and their Use in Risk Theory
- The Maple package TDDS for computing Thomas decompositions of systems of nonlinear PDEs
- Estimation of semi-Markov multi-state models: a comparison of the sojourn times and transition intensities approaches
This page was built for publication: Identifying Markov chain models from time-to-event data: an algebraic approach
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6661650)