15 citations · 15 across the 3 of their papers we have counts for
3 papers
q-bio.PE2026
Information on hidden birth events restores identifiability in phylodynamic inference
Tobias Dieselhorst, Tanja Stadler
The parameters of many classes of birth-death processes cannot be inferred uniquely from phylogenetic trees: infinitely many parameter combinations yield the same distribution of p…
q-bio.PE2024
Branch length statistics in phylogenetic trees under constant-rate birth-death dynamics
Tobias Dieselhorst, Johannes Berg
Phylogenetic trees represent the evolutionary relationships between extant lineages, where extinct or non-sampled lineages are omitted. Extending the work of Stadler and collaborat…
astro-ph.IM2021★ 15 cited
Machine Learning for Conservative-to-Primitive in Relativistic Hydrodynamics
Tobias Dieselhorst, William Cook, Sebastiano Bernuzzi +1
The numerical solution of relativistic hydrodynamics equations in conservative form requires root-finding algorithms that invert the conservative-to-primitive variables map. These…