💡 Words with a Similar Meaning to "Conditional probability table"
Found via reverse dictionary — words that share a conceptual meaning.
| Word | Definition |
|---|---|
| contingency tablenoun | (statistics) A table presenting the joint distribution of two categorical variables. |
| 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.) |
| conditional variance | In probability theory and statistics, a conditional variance is the variance of a random variable given the value(s) of one or more other variables. |
| probability distributionnoun | (statistics) A distribution of all possible values of a random variable together with an indication of their probabilities. |
| 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. |
| compound probability distribution | In probability and statistics, a compound probability distribution (also known as a mixture distribution or contagious distribution) is the probability distribution that results from assuming that a random variable is distributed according to some parametrized distribution, with (some of) the parameters of that distribution themselves being random variables. |
| mixture distribution | In probability and statistics, a mixture distribution is the probability distribution of a random variable that is derived from a collection of other random variables as follows: first, a random variable is selected by chance from the collection according to given probabilities of selection, and then the value of the selected random variable is realized. |
| marginal distributionnoun | The projection of a joint probability distribution onto one of its component random variables. |
| f distributionnoun | (statistics, probability) A probability distribution of the ratio of two variables, each with a chi-square distribution; used in analysis of variance, especially in the significance testing of a correlation coefficient (R squared). |
| quantile function | In probability and statistics, the quantile function outputs the value of a random variable such that its probability is less than or equal to an input probability value. |
| logistic regression | In statistics, the logistic model (or logit model) is a statistical model that models the log-odds of an event as a linear combination of one or more independent variables. |
| probability density functionnoun | (probability theory) Any function whose integral over a set gives the probability that a random variable has a value in that set. |
| probability mass functionnoun | (mathematics) A function that gives the relative probability that a discrete random variable is exactly equal to some value. |
| binomial distributionnoun | (probability theory, statistics) The discrete probability distribution of the number of successes in a sequence of n independent trials, each of which yields success with probability p. |
| cumulative distribution functionnoun | A function which at each point t of the sample space has as its value the probability that a given random variable is less than (or equal) t. In symbols, F_X(t)=Pr(X<t). |
| 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. |
| multinomial test | the statistical test of the null hypothesis that the parameters of a multinomial distribution equal specified values; it is used for categorical data. |
| 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. |
| poisson distributionnoun | (statistics) Any of a class of discrete probability distributions that express the probability of a given number of events occurring in a fixed time interval, where the events occur independently and at a constant average rate; describable as a limit case of either binomial or negative binomial distributions. |
| covariance matrix | In probability theory and statistics, a covariance matrix (also known as auto-covariance matrix, dispersion matrix, variance matrix, or variance–covariance matrix) is a square matrix giving the covariance between each pair of elements of a given random vector. |
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