Similar Models to Markov Chains
Hidden Markov Models
Probabilistic models where the system being modeled is assumed to be a Markov process with unobservable ("hidden") states.
Bayesian Networks
Probabilistic graphical models that represent a set of variables and their conditional dependencies via a directed acyclic graph.
Conditional Random Fields
A class of statistical modeling methods often used for structured prediction, modeling sequences and trees.
Markov Decision Processes
A mathematical framework for modeling decision making in situations where outcomes are partly random and partly under control.
Partially Observable MDPs
A generalization of Markov decision processes where the agent cannot directly observe the underlying state.
Markov Logic Networks
A probabilistic logic which combines Markov networks and first-order logic by attaching weights to first-order formulas.
Comparison Table
| Model | Type | Applications | Complexity |
|---|---|---|---|
| Markov Chain | State Transition | Text generation, Finance | Low |
| Hidden Markov Model | State Transition | Speech recognition, Bioinformatics | Medium |
| Markov Decision Process | Decision Making | Robotics, Economics | High |
Learning Resources
Markov Chains Explained
A comprehensive guide to understanding Markov Chains and their applications.
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