Jeffreys prior
joint probability
Yule-Simon distribution
hyperdistribution
hyperensemble
distribution
Wilks's theorem
likelihood
ensemble
probability density
prior probability
hypergeometric distribution
odds
chi-square distribution
distribution-free
conditional probability distribution
variance
hypergeometric random variable
prior
Rice distribution
memoryless
random
central moment
Markoff chain
geometric progression
Markov chain
categorical variable
Metropolis-Hastings algorithm
moment-generating function
Rademacher distribution
NP-easy
fat tail
hyperprior
Markovian
statistically significant
conditional probability
contingent probability
moment
posterior
Popoviciu's inequality
pseudolikelihood
Wilson score interval
Poisson distribution
Mittag-Leffler distribution
exponential distribution
changepoint
pseudocount
cumulative distribution function
distribution free statistic
standard normal random variable
nonparametric statistic
hinge
normal random variable
polychoric
marginal distribution
beta distribution
observation
Gibbs state
confidence limits
factorially
modal value
mode
Laplace distribution
normal distribution
Weibull
dependent
probabilistically
Bayes' postulate
Gaussian distribution
Chebyshev's inequality
simple function
chance
second moment
variate
rate
Gibbs sampling
cumulant
likeliness
equiproportional
homoscedasticity
decimal fraction
normal
randomity
Pareto distribution
error function
probability theory
random variable
Maxwell-Boltzmann distribution
expectiminimax
characteristic function
decimal
partial autocorrelation
confidence level
bivariable

English words for 'In Bayesian probability, a non-informative (objective) prior distribution for a parameter space; it is proportional to the square root of the determinant of the Fisher information matrix.'

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