In probability theory and statistics, the cumulative distributionfunction (CDF) of a real-valued random variable X {\displaystyle X} , or just distribution...
In probability theory, a probability density function (PDF), density function, or density of an absolutely continuous random variable, is a function whose...
In probability and statistics, a probability mass function (sometimes called probabilityfunction or frequency function) is a function that gives the...
In probability theory and statistics, a probabilitydistribution is the mathematical function that gives the probabilities of occurrence of different...
cumulative distributionfunction, or by a multivariate probability density function together with a multivariate probability mass function. In the special...
Probabilitydistributionfunction may refer to: Cumulative distributionfunctionProbability mass functionProbability density functionProbability distribution...
In probability theory and statistics, the conditional probabilitydistribution is a probabilitydistribution that describes the probability of an outcome...
probabilitydistribution. It is also called the percentile function (after the percentile), percent-point function, inverse cumulative distribution function...
In probability theory and statistics, a normal distribution or Gaussian distribution is a type of continuous probabilitydistribution for a real-valued...
Many probabilitydistributions that are important in theory or applications have been given specific names. The Bernoulli distribution, which takes value...
few stable distributions with a probability density function that can be expressed analytically, the others being the normal distribution and the Lévy...
In probability theory and statistics, the Poisson distribution is a discrete probabilitydistribution that expresses the probability of a given number...
In probability theory and statistics, the binomial distribution with parameters n and p is the discrete probabilitydistribution of the number of successes...
The two are related as follows: Given a prior belief that a probabilitydistributionfunction is p ( θ ) {\displaystyle p(\theta )} and that the observations...
that it is contained in the distribution's support. The probability density function of the continuous uniform distribution is f ( x ) = { 1 b − a for ...
multiple variables is called a Dirichlet distribution. The probability density function (PDF) of the beta distribution, for 0 ≤ x ≤ 1 {\displaystyle 0\leq...
a Boltzmann distribution (also called Gibbs distribution) is a probabilitydistribution or probability measure that gives the probability that a system...
convolution/sum of probabilitydistributions arises in probability theory and statistics as the operation in terms of probabilitydistributions that corresponds...
In probability theory and statistics, the exponential distribution or negative exponential distribution is the probabilitydistribution of the distance...
unchanged when its probability density function (for continuous probabilitydistribution) or probability mass function (for discrete random variables) is...
softmax function is often used as the last activation function of a neural network to normalize the output of a network to a probabilitydistribution over...
The survival function is a function that gives the probability that a patient, device, or other object of interest will survive past a certain time. The...