We present and explore a general method for deriving a Lie-Markov model from a finite semigroup. If the degree of the semigroup is k, the resulting model is a continuous-time Markov chain on k-states and, as a consequence of the product rule in the semigroup, satisfies the property of multiplicative closure. This means that the product of any two probability substitution matrices taken from the model produces another substitution matrix also in the model. We show that our construction is a natural generalization of the concept of group-based models
AbstractWe extend the Ruzhansky–Turunen theory of pseudo-differential operators on compact Lie group...
International audienceThe Markov commutator associated to a finite Markov kernel P is the convex sem...
Let {Pt'} t ^ 0} be a Markov semigroup arising from a standard, discrete state Markov chain in ...
We present and explore a general method for deriving a Lie-Markov model from a finite semigroup. If ...
Recent work has discussed the importance of multiplicative closure for the Markov models used in phy...
We prove that the probability substitution matrices obtained from a continuous-time Markov chain for...
We prove that the probability substitution matrices obtained from a continuous-time Markov chain for...
Recent work has discussed the importance of multiplicative closure for the Markov mod- els used in ...
Continuous-time Markov chains are a standard tool in phylogenetic inference. If homogeneity is assum...
We provide a unified framework to compute the stationary distribution of any finite irreducible Mark...
A matrix Lie algebra is a linear space of matrices closed under the operation [A, B] = AB − BA. The ...
Various analyses of the Lie Markov models: Fourier-Motzkin elimination, nesting, equilibrium base fr...
We study model embeddability, which is a variation of the famous embedding problem in probability th...
The representation problem of finite-dimensional Markov matrices in Markov semigroups is revisited, ...
Abstract. We study the structure of a quantum Markov semi-group (Tt)t≥0 on a von Neumann algebra A s...
AbstractWe extend the Ruzhansky–Turunen theory of pseudo-differential operators on compact Lie group...
International audienceThe Markov commutator associated to a finite Markov kernel P is the convex sem...
Let {Pt'} t ^ 0} be a Markov semigroup arising from a standard, discrete state Markov chain in ...
We present and explore a general method for deriving a Lie-Markov model from a finite semigroup. If ...
Recent work has discussed the importance of multiplicative closure for the Markov models used in phy...
We prove that the probability substitution matrices obtained from a continuous-time Markov chain for...
We prove that the probability substitution matrices obtained from a continuous-time Markov chain for...
Recent work has discussed the importance of multiplicative closure for the Markov mod- els used in ...
Continuous-time Markov chains are a standard tool in phylogenetic inference. If homogeneity is assum...
We provide a unified framework to compute the stationary distribution of any finite irreducible Mark...
A matrix Lie algebra is a linear space of matrices closed under the operation [A, B] = AB − BA. The ...
Various analyses of the Lie Markov models: Fourier-Motzkin elimination, nesting, equilibrium base fr...
We study model embeddability, which is a variation of the famous embedding problem in probability th...
The representation problem of finite-dimensional Markov matrices in Markov semigroups is revisited, ...
Abstract. We study the structure of a quantum Markov semi-group (Tt)t≥0 on a von Neumann algebra A s...
AbstractWe extend the Ruzhansky–Turunen theory of pseudo-differential operators on compact Lie group...
International audienceThe Markov commutator associated to a finite Markov kernel P is the convex sem...
Let {Pt'} t ^ 0} be a Markov semigroup arising from a standard, discrete state Markov chain in ...