Add to ORKGWe study multivariate Markov chain models for approximating a conventional Markov chain model with a huge number of states. We propose an efficient estimation method for the parameters in the proposed model. Numerical examples are given to illustrate the usefulness of the proposed model.published_or_final_versio
This paper extends Markov chain bootstrapping to the case of multivariate continuous-valued stochast...
This paper extends Markov chain bootstrapping to the case of multivariate continuous-valued stochast...
This paper extends Markov chain bootstrapping to the case of multivariate continuous-valued stochast...
In this paper we address the problem of modelling multivariate finite order Markov chains, when the ...
Markov chains are commonly used in modeling many practical systems such as queuing systems, manufact...
Session 3 Invited Lectures: 3.8 Group 8: Numerical Analysis, Scientific Computing, Imaging, Bio-Math...
We propose a new multivariate Markov chain model for adding a new categorical data sequence. The num...
AbstractMarkov chains are commonly used in modeling many practical systems such as queuing systems, ...
Markov models are commonly used in modelling many practical systems such as queueing networks, manuf...
Markov models are commonly used in modelling many practical systems such as telecommunication system...
Markov chain models are commonly used to model categorical data sequences. In the paper, we propose ...
In this thesis, the properties of some non-standard Markov chain models and their corresponding para...
In this paper we address the problem of modelling multivariate finite order Markov chains, when the ...
AbstractMarkov chains are commonly used in modeling many practical systems such as queuing systems, ...
Vasconcelos, C., & Damásio, B. (2022, Feb 1). GenMarkov: Modeling Generalized Multivariate Markov Ch...
This paper extends Markov chain bootstrapping to the case of multivariate continuous-valued stochast...
This paper extends Markov chain bootstrapping to the case of multivariate continuous-valued stochast...
This paper extends Markov chain bootstrapping to the case of multivariate continuous-valued stochast...
In this paper we address the problem of modelling multivariate finite order Markov chains, when the ...
Markov chains are commonly used in modeling many practical systems such as queuing systems, manufact...
Session 3 Invited Lectures: 3.8 Group 8: Numerical Analysis, Scientific Computing, Imaging, Bio-Math...
We propose a new multivariate Markov chain model for adding a new categorical data sequence. The num...
AbstractMarkov chains are commonly used in modeling many practical systems such as queuing systems, ...
Markov models are commonly used in modelling many practical systems such as queueing networks, manuf...
Markov models are commonly used in modelling many practical systems such as telecommunication system...
Markov chain models are commonly used to model categorical data sequences. In the paper, we propose ...
In this thesis, the properties of some non-standard Markov chain models and their corresponding para...
In this paper we address the problem of modelling multivariate finite order Markov chains, when the ...
AbstractMarkov chains are commonly used in modeling many practical systems such as queuing systems, ...
Vasconcelos, C., & Damásio, B. (2022, Feb 1). GenMarkov: Modeling Generalized Multivariate Markov Ch...
This paper extends Markov chain bootstrapping to the case of multivariate continuous-valued stochast...
This paper extends Markov chain bootstrapping to the case of multivariate continuous-valued stochast...
This paper extends Markov chain bootstrapping to the case of multivariate continuous-valued stochast...