A classification of invariant distributions and convergence of imprecise Markov chains

Author:

Škulj Damjan

Publisher

Elsevier BV

Subject

Discrete Mathematics and Combinatorics,Geometry and Topology,Numerical Analysis,Algebra and Number Theory

Reference12 articles.

1. Spectral theorem for convex monotone homogeneous maps, and ergodic control;Akian;Nonlinear Anal.: Theory Methods Appl.,2003

2. Stability and convergence in discrete convex monotone dynamical systems;Akian;J. Fixed Point Theory Appl.,2011

3. Imprecise Markov chains with absorption;Crossman;Internat. J. Approx. Reason.,2010

4. Imprecise Markov chains and their limit behavior;de Cooman;Probab. Engrg. Inform. Sci.,2009

5. Markov Set-Chains;Hartfiel,1998

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1. Application of normal cones to the computation of solutions of the nonlinear Kolmogorov backward equation;International Journal of Approximate Reasoning;2023-07

2. Computing Bounds for Imprecise Continuous-Time Markov Chains Using Normal Cones;Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications;2021

3. Perturbation bounds and degree of imprecision for uniquely convergent imprecise Markov chains;Linear Algebra and its Applications;2017-11

4. Efficient computation of the bounds of continuous time imprecise Markov chains;Applied Mathematics and Computation;2015-01

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