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Mindmap

Markov chains

Danyi Celis Spanisch

Markov chains

Inhalt der Mindmap

Markov chains

  1. Type of STOCKHOLD PROCESS

    • The probability of an event occurring
      • MARKOV PROPERTY
        • Depends Only in
          • IMMEDIATELY PREVIOUS EVENT
  2. composed by

    • Transition Probabilities
      • Go from state i to j in n units of time
      • Satisfy
        • Equation Chapman - Kolmogorov
    • Transition Matrix
      • It can be obtained in n steps
          • In case of being homogenous
    • States
      • Variables que describen el sistema
      • Classified as
        • Accesible
          • Achievable from another state
        • Comunicatives
          • Accessible to each other
        • Transients
          • States with no possibility of return
        • Absorbent
          • Only transition to themselves
        • Recurrent
          • Probability to return to themselves
          • Positiv
            • Finite number of states
          • Null
            • Infinite number of states
        • It is said to have period d
          • Non-periodic
            • d=1
          • Periodic
        • Ergodic
          • If it's aperiodic and positive recurrent
    • Communication Classes
      • Equivalence ratio
        • Reflexive
        • Transitive
        • Symmetric
        • If all the states in the chain communicate with each other
          • Irreducible
  3. Types of chains

    • Irreducible
      • From any state of E you can access any other
      • All states communicate with each other
      • C(x)=E for a x∈E
      • C(x)=E for every x∈E
    • Positive - Recurring
      • If all the states are positive-recurring
    • Regular
      • If there is any positive power of the transition matrix whose inputs are all strictly greater than zero
    • Absorbing
      • The chain has at least one absorbent state
      • From any non-absorbent state, some absorbent state is accessed
    • Markov chains in continuous time
    • Ergodica
      • If all your states are ergodic
  4. Applications

    • Meteorology
      • Rain recurrence models
    • Epidemiological models
      • Process Galton-Watson.
        • Model the development of an epidemic
    • Internet
      • The pagerank of a webpage
    • Simulation
      • Tail theory the Model M/M/1
    • Random Games
      • The model of the ruin of the player
    • Economy and Finance
      • Arbitration Opportunity
      • Collapse of a stock exchange
      • Determine price volatility
    • Musik
      • Algorithms of musical composition
        • Csound
    • Operations
      • Inventaries
      • Maintenance
      • Process Flow
  5. Andrei Markov

    • Russian mathematician
      • Contributions in
        • Number Theory
        • Probability Theory

Bilder und Dateien der Mindmap

  • Markov chains
  • Markov chains
  • Markov chains
  • Markov chains
  • Markov chains
  • Markov chains
  • Markov chains
  • Markov chains
  • Markov chains
  • Markov chains
  • Markov chains
  • Markov chains
  • Markov chains

Informationen

Beschreibung
Mindmap am Markov chains, erstellt von Danyi Celis am 15/10/2019.
Erstellt von
Danyi Celis
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