Markov process
Markoff process
Markovian
Markov model
Markov property
ensemble
submartingale
martingale
Bayes' theorem
likelihood
supermartingale
prior
anticausal
heterostasis
ergodic
hyperdistribution
Cramér-Rao bound
distribution
prior probability
hypothetical
stopping time
Rademacher distribution
partial autocorrelation
explanator
Tukey lambda distribution
Popoviciu's inequality
Yule-Simon distribution
changepoint
outcome variable
tempogram
stationary stochastic process
Moore machine
pseudorandom
Markov jump process
conditional probability
conditionality
coefficient of determination
time horizon
memoryless
exponential distribution
predictor
probabilioristic
Pareto distribution
Gibbs algorithm
Gibbs state
prequential
backshift
antecedent
random function
probability distribution
aleatory
semipredictable
hyperensemble
normal random variable
sample path
Mittag-Leffler distribution
covary
random
Weibull
randomness
ergodicity
provide
suspend
responding variable
decision theory
Cromwell's rule
beta distribution
random variable
forecast
chi-square distribution
retrodict
don't count your chickens before they're hatched
predeterminedness
Gibbs sampling
conditional probability distribution
probability density
alpha-beta filter
insurance
Wilks's theorem
prognosticatory
stochasticism
prerandomisation
theoretical probability
probabilistically
prerandomized
supposing
greedy property
probability theory
cobweb model
Mealy machine
semideterministic
hypergeometric random variable
odds
Bhatia-Davis inequality
probability mass function
forefixed

English words for 'Any stochastic process for which the conditional probability distribution of future states depends only on the current state (and not on past states).'

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