Category:Markov models

• Markov model

A

• Absorbing Markov chain
• Algorithmic composition

B

• Baum–Welch algorithm
• Bernoulli scheme
• Burst error
• Burstiness

C

• CLAWS (linguistics)
• Coupling card trick

D

• Dependability state model
• Detailed balance
• Diffusion model
• Discrete phase-type distribution
• Dynamic Markov compression
• Dynamics of Markovian particles
• Dynkin–Kruskal sequence

E

• Entropy rate
• Examples of Markov chains

F

• Forward algorithm
• Forward–backward algorithm

G

• Gene prediction
• Generalized filtering
• GLIMMER
• Google matrix

H

• Hidden Markov model

I

• Interacting particle system
• Iterative Viterbi decoding

K

• Kalman filter
• Kruskal count

L

• Language model

M

• Mark V. Shaney
• Markov chain
• Markov chain central limit theorem
• Markov chain geostatistics
• Markov chain Monte Carlo
• Markov partition
• Markov property
• Markov switching multifractal
• Markovian discrimination
• Maximum-entropy Markov model
• MegaHAL
• Models of DNA evolution
• MRF optimization via dual decomposition
• Multiple sequence alignment

O

• Optimistic knowledge gradient

P

• PageRank
• Part-of-speech tagging
• Path dependence
• Pop music automation
• Population process

Q

• Quantum Markov chain
• Queueing theory

R

• Random surfing model
• Reinforcement learning

S

• Snakes and ladders
• Stochastic cellular automaton
• Stochastic matrix
• Switching Kalman filter

V

• Variable-order Bayesian network
• Variable-order Markov model
• Viterbi algorithm

W

• Word n-gram language model