Non-negative Matrices and Markov Chains
Explore this paper's citation graph
- Type
- book
- Published
- 2008-11-01
- Cited by
- 2,235
- References
- 5
- Access
- Open access
- OpenAlex
- https://openalex.org/W2165469059
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:123838383
Keywords
Markov chain, Mathematics, Examples of Markov chains, Statistical physics, Mathematical economics
References
Cited by
- Opinion dynamics with stubborn vertices
- A DISCRETE NONLINEAR AND NON–AUTONOMOUS MODEL OF CONSENSUS FORMATION
- Information Geometry of Contrastive Divergence
- ASYMPTOTIC PROPERTIES OF THE COLUMNS IN THE PRODUCTS OF NONNEGATIVE MATRICES
- Discrete Opinion Dynamics with Stubborn Agents
- Approchabilité, calibration et regret dans les jeux à observations partielles
- Error Floors of LDPC Codes and Related Topics
- Short-term Event Tracking in Dynamic Online News
- Text Categorization Using Word Similarities Based on Higher Order Co-occurrences
- Towards a unified theory of consensus
- Distributed Optimization and Data Recovery for Wireless Networking
- Market Connectedness: Spillovers, Information Flow, and Relative Market Entropy
- Biologically-inspired control for self-adaptive multiagent systems
- ASYMPTOTIC BEHAVIOR FOR MArP/PH/2 QUEUE WITH JOIN THE SHORTEST QUEUE DISCIPLINE
- AVERAGE CONSENSUS IN SYMMETRIC NONLINEAR MULTI-AGENT NETWORKS WITH NON-HOMOGENEOUS DELAYS.
- Analytical methods for stochastic discrete-time metapopulation models
- Limit laws for a family of random circuits
- Hidden Markov Models with time-continuous output behavior
- Spectrum of large random reversible Markov chains
- Etude de l'estimation du maximum de vraisemblance dans des modèles markoviens, semi-markoviens et semi-markoviens cachés avec applications
Related papers
- FROM p - m CHAINS TO MARKOV CHAINS IN RANDOMENVIRONMENTS
- Functional model reduction of inhomogeneous Markov chains
- φ-irreducibility on Markov chains in random environments
- Defition and Properties of Markov Chains in Random Environments
- Product form distributions from decompositions of Markov chains
- Moderate deviations for empirical measures for nonhomogeneous Markov chains.