11 citations · 30 across the 11 of their papers we have counts for
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Embeddability of centrosymmetric matrices capturing the double-helix structure in natural and synthetic DNA
Muhammad Ardiyansyah, Dimitra Kosta, Jordi Roca-Lacostena
In this paper, we discuss the embedding problem for centrosymmetric matrices, which are higher order generalizations of the matrices occurring in Strand Symmetric Models. These mod…
The Model-Specific Markov Embedding Problem for Symmetric Group-Based Models
Muhammad Ardiyansyah, Dimitra Kosta, Kaie Kubjas
We study model embeddability, which is a variation of the famous embedding problem in probability theory, when apart from the requirement that the Markov matrix is the matrix expon…
Geometry of symmetric group-based models
Dimitra Kosta, Kaie Kubjas
Phylogenetic models have polynomial parametrization maps. For symmetric group-based models, Matsen studied the polynomial inequalities that characterize the joint probabilities in…