Markov model
Markov process
Markoff process
Markov jump process
Markovian
ensemble
Markov property
semipredictable
ergodic
rerandomize
randomity
steady state
supermartingale
cobweb model
tempogram
ergodicity
heterostasis
flatline
prerandomisation
trajectory
real-time
likelihood
stochasticism
rerandomization
Gibbs state
instability
exponential distribution
time horizon
changepoint
where the puck is heading
stateful
cycler
shiftlike
Cramér-Rao bound
unshuffle
submartingale
martingale
independent variable
retroactiveness
partial autocorrelation
feedforward
probability theory
underpredicting
bifurcation theory
forecastable
effective
outcome variable
prerandomized
alpha-beta filter
inevitable
upheaval
antifragility
prequential
physical process
predictable
process
prognosticatory
epsilon-machine
observation
expect
retroactivity
predictor
postpuberally
chronologicity
Yule-Simon distribution
stochastics
chaos
forward compatible
contingent probability
conditional probability
variate
cyclicity
quasistochastic
pseudorandom
coefficient of determination
flit
Le Chatelier principle
semideterministic
random walk
hyperdistribution
Gibbs measure
inb4
Le Chatelier-Braun principle
Le Chatelier's law
envisagable
postrandomization
forecast
Le Chatelier's principle
grease the wheels
deshuffle
foreseeability
grease the skids
wild card
predictive coding
autoscaler
predictability
superstabilizing
reversal

English words for 'A stochastic model for randomly changing systems, where it is assumed that future states depend only on the current state and not those that preceded it.'

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