In probability theory and statistics, a probability distribution is a function that gives the probabilities of occurrence of possible events for an experiment...

same probability space, the multivariate or joint probability distribution for X , Y , … {\displaystyle X,Y,\ldots } is a probability distribution that...

In probability theory and statistics, the Poisson distribution (/ˈpwɑːsɒn/) is a discrete probability distribution that expresses the probability of a...

In probability theory and statistics, the conditional probability distribution is a probability distribution that describes the probability of an outcome...

Many probability distributions that are important in theory or applications have been given specific names. The Bernoulli distribution, which takes value...

In probability theory and statistics, the binomial distribution with parameters n and p is the discrete probability distribution of the number of successes...

statisticians. In other sources, "probability distribution function" may be used when the probability distribution is defined as a function over general...

In probability theory and statistics, the cumulative distribution function (CDF) of a real-valued random variable X {\displaystyle X} , or just distribution...

In probability theory and statistics, the continuous uniform distributions or rectangular distributions are a family of symmetric probability distributions...

probability and statistics, a compound probability distribution (also known as a mixture distribution or contagious distribution) is the probability distribution...

In probability theory and statistics, the beta distribution is a family of continuous probability distributions defined on the interval [0, 1] or (0, 1)...

convolution/sum of probability distributions arises in probability theory and statistics as the operation in terms of probability distributions that corresponds...

A prior probability distribution of an uncertain quantity, simply called the prior, is its assumed probability distribution before some evidence is taken...

In probability theory and statistics, the exponential distribution or negative exponential distribution is the probability distribution of the distance...

entropy probability distribution has entropy that is at least as great as that of all other members of a specified class of probability distributions. According...

In probability theory and statistics, the marginal distribution of a subset of a collection of random variables is the probability distribution of the...

probability distribution is a probability distribution—an assignment of probabilities to possible occurrences—which is unchanged when its probability...

In probability theory and statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued...

The posterior probability is a type of conditional probability that results from updating the prior probability with information summarized by the likelihood...

probability theory and statistics, Student's t distribution (or simply the t distribution) t ν {\displaystyle t_{\nu }} is a continuous probability distribution...

in distribution tells us about the limit distribution of a sequence of random variables. This is a weaker notion than convergence in probability, which...

Probability distribution fitting or simply distribution fitting is the fitting of a probability distribution to a series of data concerning the repeated...

event. Central subjects in probability theory include discrete and continuous random variables, probability distributions, and stochastic processes (which...

In probability theory and statistics, the Bernoulli distribution, named after Swiss mathematician Jacob Bernoulli, is the discrete probability distribution...

probability theory and statistics, the geometric distribution is either one of two discrete probability distributions: The probability distribution of...

In probability theory, a probability distribution is infinitely divisible if it can be expressed as the probability distribution of the sum of an arbitrary...

the wavefunction that appears in the Schrödinger equation to a probability distribution in phase space. It is a generating function for all spatial autocorrelation...

Probability distribution function may refer to: Probability distribution, a function that gives the probabilities of occurrence of possible outcomes for...

Monte Carlo, which are used for simulating sampling from complex probability distributions, and have found application in areas including Bayesian statistics...

In probability theory and statistics, the Weibull distribution /ˈwaɪbʊl/ is a continuous probability distribution. It models a broad range of random variables...