Baake M, Sumner J. Notes on Markov embedding. LINEAR ALGEBRA AND ITS APPLICATIONS. 2020;594:262-299.The representation problem of finite-dimensional Markov matrices in Markov semigroups is revisited, with emphasis on concrete criteria for matrix subclasses of theoretical or practical relevance, such as equal-input, circulant, symmetric or doubly stochastic matrices. Here, we pay special attention to various algebraic properties of the embedding problem, and discuss the connection with the centraliser of a Markov matrix. (C) 2020 Elsevier Inc. All rights reserved
This thesis deals with Markov operators and semigroups. A Markov operator is a positive linear opera...
The attached file may be somewhat different from the published versionInternational audienceIn this ...
A matrical representation of a Markov chain consists of the initial vector and transition matrix of ...
The representation problem of finite-dimensional Markov matrices in Markov semigroups is revisited, ...
The practically important classes of equal-input and of monotone Markov matrices are revisited, with...
We study model embeddability, which is a variation of the famous embedding problem in probability th...
To study finite Markov chains, we begin with the theory of order relations to classify states and ch...
and 4.9. In this handout, we indicate more completely the properties of the eigenvalues of a stochas...
The embedding problem of Markov chains is a long standing problem where a given stochastic matrix i...
We provide a unified framework to compute the stationary distribution of any finite irreducible Mark...
Abstract. The standard theorem for stochastic matrices with positive entries is generalized to matri...
We present and explore a general method for deriving a Lie-Markov model from a finite semigroup. If ...
International audienceThe Markov commutator associated to a finite Markov kernel P is the convex sem...
We develop a new approach for investigation of asymptotic behavior of Markov semigroup on preduals o...
AbstractKingman and Williams [6] showed that a pattern of positive elements can occur in a transitio...
This thesis deals with Markov operators and semigroups. A Markov operator is a positive linear opera...
The attached file may be somewhat different from the published versionInternational audienceIn this ...
A matrical representation of a Markov chain consists of the initial vector and transition matrix of ...
The representation problem of finite-dimensional Markov matrices in Markov semigroups is revisited, ...
The practically important classes of equal-input and of monotone Markov matrices are revisited, with...
We study model embeddability, which is a variation of the famous embedding problem in probability th...
To study finite Markov chains, we begin with the theory of order relations to classify states and ch...
and 4.9. In this handout, we indicate more completely the properties of the eigenvalues of a stochas...
The embedding problem of Markov chains is a long standing problem where a given stochastic matrix i...
We provide a unified framework to compute the stationary distribution of any finite irreducible Mark...
Abstract. The standard theorem for stochastic matrices with positive entries is generalized to matri...
We present and explore a general method for deriving a Lie-Markov model from a finite semigroup. If ...
International audienceThe Markov commutator associated to a finite Markov kernel P is the convex sem...
We develop a new approach for investigation of asymptotic behavior of Markov semigroup on preduals o...
AbstractKingman and Williams [6] showed that a pattern of positive elements can occur in a transitio...
This thesis deals with Markov operators and semigroups. A Markov operator is a positive linear opera...
The attached file may be somewhat different from the published versionInternational audienceIn this ...
A matrical representation of a Markov chain consists of the initial vector and transition matrix of ...