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math.DS2023★ 1 cited
Identifying Markov chain models from time-to-event data: an algebraic approach
Ovidiu Radulescu, Dima Grigoriev, Matthias Seiss +3
Many biological and medical questions can be modeled using time-to-event data in finite-state Markov chains, with the phase-type distribution describing intervals between events. W…
math.NA2023
On the Numerical Integration of Singular Initial and Boundary Value Problems for Generalised Lane-Emden and Thomas-Fermi Equations
Werner M. Seiler, Matthias Seiss
We propose a geometric approach for the numerical integration of singular initial value problems for (systems of) quasi-linear differential equations. It transforms the original pr…