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A sequence of random variables that are i.i.d, conditional on some underlying distributional form, is exchangeable. This follows directly from the structure of the joint probability distribution generated by the i.i.d. form. Mixtures of exchangeable sequences (in particular, sequences of i.i.d. variables) are exchangeable.
In an economic model, an exogenous variable is one whose measure is determined outside the model and is imposed on the model, and an exogenous change is a change in an exogenous variable. [1]: p. 8 [2]: p. 202 [3]: p. 8 In contrast, an endogenous variable is a variable whose measure is determined by the model. An endogenous change is a change ...
The conditional distribution contrasts with the marginal distribution of a random variable, which is its distribution without reference to the value of the other variable. If the conditional distribution of Y {\displaystyle Y} given X {\displaystyle X} is a continuous distribution , then its probability density function is known as the ...
The Ren'Py Visual Novel Engine (or RenPy for short) is a free software game engine which facilitates the creation of visual novels. Ren'Py is a portmanteau of ren'ai ( 恋愛 ) , the Japanese word for 'romantic love', a common element of games made using Ren'Py; and Python , the programming language that Ren'Py runs on.
The table usually takes the form of a multi-column, multi-row table; With each column showing a variable, and each row showing each number input into the algorithm and the subsequent values of the variables. Trace tables are typically used in schools and colleges when teaching students how to program.
In information theory, the conditional entropy quantifies the amount of information needed to describe the outcome of a random variable given that the value of another random variable is known. Here, information is measured in shannons , nats , or hartleys .
If these conditions are true, then k is a Poisson random variable; the distribution of k is a Poisson distribution. The Poisson distribution is also the limit of a binomial distribution, for which the probability of success for each trial equals λ divided by the number of trials, as the number of trials approaches infinity (see Related ...
Rényi entropy of a random variable with two possible outcomes against p 1, where P = (p 1, 1 − p 1).Shown are Η 0, Η 1, Η 2 and Η ∞, with the unit on the vertical axis being the shannon.