💡 Words with a Similar Meaning to "Conditional variance"
Found via reverse dictionary — words that share a conceptual meaning.
| Word | Definition |
|---|---|
| regular conditional probability | In probability theory, regular conditional probability is a concept that formalizes the notion of conditioning on the outcome of a random variable. |
| covariancenoun | (statistics) A statistical measure defined as scriptstyle operatorname Cov(X,Y)= operatorname E((X-μ)(Y-ν)) given two real-valued random variables X and Y, with expected values scriptstyle E(X),=,μ and scriptstyle E(Y),=,ν. |
| conditional probabilitynoun | The probability that an event will take place given the restrictive assumption that another event has taken place, or that a combination of other events has taken place. (Mathematically, the definition would be that the conditional probability of B given A is equal to the joint probability of A and B divided by the probability of A.) |
| marginal distributionnoun | The projection of a joint probability distribution onto one of its component random variables. |
| probability distributionnoun | (statistics) A distribution of all possible values of a random variable together with an indication of their probabilities. |
| random variate | In probability and statistics, a random variate or simply variate is a particular outcome or realization of a random variable; the random variates which are other outcomes of the same random variable might have different values (random numbers). |
| posterior predictive distribution | In Bayesian statistics, the posterior predictive distribution is the distribution of possible unobserved values conditional on the observed values. |
| random effects model | In econometrics, a random effects model, also called a variance components model, is a statistical model where the model parameters are random variables. |
| conditional probability table | In statistics, the conditional probability table is defined for a set of discrete and mutually dependent random variables to display conditional probabilities of a single variable with respect to the others (i.e., the probability of each possible value of one variable if we know the values taken on by the other variables). |
| conditional dependence | In probability theory, conditional dependence is a relationship between two or more events that are dependent when a third event occurs. |
| probability mass functionnoun | (mathematics) A function that gives the relative probability that a discrete random variable is exactly equal to some value. |
| distributionnoun | An act of distributing or state of being distributed. |
| conditional mutual information | In probability theory, particularly information theory, the conditional mutual information is, in its most basic form, the expected value of the mutual information of two random variables given the value of a third. |
| random variablenoun | (statistics, loosely) A quantity whose value is random and to which a probability distribution is assigned, such as the possible outcome of a roll of a dice. |
| coefficient of variation | In probability theory and statistics, the coefficient of variation, also known as normalized root-mean-square deviation, percent RMS, and relative standard deviation, is a standardized measure of dispersion of a probability distribution or frequency distribution. |
| pairwise independence | In probability theory, a pairwise independent collection of random variables is a set of random variables any two of which are independent. |
| conditional expectation | In probability theory, the conditional expectation, conditional expected value, or conditional mean of a random variable is its expected value evaluated with respect to the conditional probability distribution. |
| conditional entropynoun | (information theory) The portion of a random variable's own Shannon entropy which is independent from another, given, random variable. |
| stochastic processnoun | (mathematics, probability theory) A function that maps elements of an index set to elements of a collection of random variables; historically, a collection of random variables indexed by a set of numbers usually regarded as points in time. |
| stochastic volatility | In statistics, stochastic volatility models are those in which the variance of a stochastic process is itself randomly distributed. |
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