In this paper, it is shown that nearly completely decomposable (NCD) Markov chains are quasi-lumpable. The state space partition is the natural one, and the technique may be used to compute lower and upper bounds on the stationary probability of each NCD block. In doing so, a lower-bounding nonnegative coupling matrix is employed. The nature of the stationary probability bounds is closely related to the structure of this lower-bounding matrix. Irreducible lower-bounding matrices give tighter bounds compared with bounds obtained using reducible lower-bounding matrices. It is also noticed that the quasi-lumped chain of an NCD Markov chain is an ill-conditioned matrix and the bounds obtained generally will not be tight. However, under some cir...
In this paper, we address the problem of reduced-complexity estimation of general large-scale hidden...
Nearly uncoupled Markov chains (aka nearly completely decomposable Markov chains) arise in a variety...
Recently the Multi-Level algorithm was introduced as a general purpose solver for the solution of st...
This paper presents an improved version of a componentwise bounding algorithm for the state probabil...
Cataloged from PDF version of article.This paper presents an improved version of a componentwise bou...
In this thesis, the theory of lumpability (strong lumpability and weak lumpability) of irreducible f...
AbstractThis paper shows how lumping in Markov chains can be extended to Markov set-chains. The crit...
This paper highlights an algorithm that computes, if possible, a nearly completely decomposable (NCD...
Experimental results for large, sparse Markov chains, especially the ill-conditioned nearly complete...
This paper provides a systematic method of obtaining reduced-complexity approximations to aggregate ...
The attached file may be somewhat different from the published versionInternational audienceWe consi...
International audienceUnder certain conditions, the state space of a homogeneous Markov process can ...
A class of Markov chains we call successively lumpable is specified for which it is shown that the s...
Iterative aggregation-disaggregation (IAD) is an effective method for solving finite nearly complete...
The general area of research of this dissertation concerns large systems with random aspects to thei...
In this paper, we address the problem of reduced-complexity estimation of general large-scale hidden...
Nearly uncoupled Markov chains (aka nearly completely decomposable Markov chains) arise in a variety...
Recently the Multi-Level algorithm was introduced as a general purpose solver for the solution of st...
This paper presents an improved version of a componentwise bounding algorithm for the state probabil...
Cataloged from PDF version of article.This paper presents an improved version of a componentwise bou...
In this thesis, the theory of lumpability (strong lumpability and weak lumpability) of irreducible f...
AbstractThis paper shows how lumping in Markov chains can be extended to Markov set-chains. The crit...
This paper highlights an algorithm that computes, if possible, a nearly completely decomposable (NCD...
Experimental results for large, sparse Markov chains, especially the ill-conditioned nearly complete...
This paper provides a systematic method of obtaining reduced-complexity approximations to aggregate ...
The attached file may be somewhat different from the published versionInternational audienceWe consi...
International audienceUnder certain conditions, the state space of a homogeneous Markov process can ...
A class of Markov chains we call successively lumpable is specified for which it is shown that the s...
Iterative aggregation-disaggregation (IAD) is an effective method for solving finite nearly complete...
The general area of research of this dissertation concerns large systems with random aspects to thei...
In this paper, we address the problem of reduced-complexity estimation of general large-scale hidden...
Nearly uncoupled Markov chains (aka nearly completely decomposable Markov chains) arise in a variety...
Recently the Multi-Level algorithm was introduced as a general purpose solver for the solution of st...