We show that the stationary distribution of a finite Markov chain can be expressed as the sum of certain normal distributions. These normal distributions are associated to planar graphs consisting of a straight line with attached loops. The loops touch only at one vertex either of the straight line or of another attached loop. Our analysis is based on our previous work, which derives the stationary distribution of a finite Markov chain using semaphore codes on the Karnofsky-Rhodes and McCammond expansion of the right Cayley graph of the finite semigroup underlying the Markov chain
We consider a simple and widely used method for evaluating quasi-stationary distributions of continu...
We investigate how the stationary distribution of a Markov chain changes when transitions from a sin...
Let F be a probability distribution with support on the non-negative integers. A model is proposed f...
We provide a unified framework to compute the stationary distribution of any finite irreducible Mark...
It is shown that a stationary distribution of a regular Markov chain can be obtained directly from i...
This article provides series expansions of the stationary distribution of a finite Markov chain. Thi...
This paper provides series expansions of the stationary distribution of a finite Markov chain. This ...
Abstract. In this paper, I will buildup the basic framework of Markov Chains over finite state space...
Patterns with “unusual” frequencies are new functional candidate patterns. Their identification is u...
AbstractIn a situation where the unique stationary distribution vector of an infinite irreducible po...
AbstractTechniques for updating the stationary distribution of a finite irreducible Markov chain fol...
Computing the stationary distribution of a large finite or countably infinite state space Markov Cha...
Let F be a probability distribution with support on the non-negative integers. A model is proposed f...
In this dissertation we introduce a new estimator of the stationary probability measure of Markov pr...
Computing the stationary distribution of a large finite or countably infinite state space Markov Cha...
We consider a simple and widely used method for evaluating quasi-stationary distributions of continu...
We investigate how the stationary distribution of a Markov chain changes when transitions from a sin...
Let F be a probability distribution with support on the non-negative integers. A model is proposed f...
We provide a unified framework to compute the stationary distribution of any finite irreducible Mark...
It is shown that a stationary distribution of a regular Markov chain can be obtained directly from i...
This article provides series expansions of the stationary distribution of a finite Markov chain. Thi...
This paper provides series expansions of the stationary distribution of a finite Markov chain. This ...
Abstract. In this paper, I will buildup the basic framework of Markov Chains over finite state space...
Patterns with “unusual” frequencies are new functional candidate patterns. Their identification is u...
AbstractIn a situation where the unique stationary distribution vector of an infinite irreducible po...
AbstractTechniques for updating the stationary distribution of a finite irreducible Markov chain fol...
Computing the stationary distribution of a large finite or countably infinite state space Markov Cha...
Let F be a probability distribution with support on the non-negative integers. A model is proposed f...
In this dissertation we introduce a new estimator of the stationary probability measure of Markov pr...
Computing the stationary distribution of a large finite or countably infinite state space Markov Cha...
We consider a simple and widely used method for evaluating quasi-stationary distributions of continu...
We investigate how the stationary distribution of a Markov chain changes when transitions from a sin...
Let F be a probability distribution with support on the non-negative integers. A model is proposed f...