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Find link is a tool written by Edward Betts.searching for Joint probability distribution 15 found (102 total)
alternate case: joint probability distribution
Sanov's theorem
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{KL} }(p^{*}||q)}} , where q n {\displaystyle q^{n}} is the joint probability distribution on X n {\displaystyle X^{n}} , and p ∗ {\displaystyle p^{*}}Polynomial chaos (2,435 words) [view diff] exact match in snippet view article find links to article
polynomials are chosen to be orthogonal with respect to the joint probability distribution of these random variables. Note that despite its name, PCE hasPartial correlation (3,782 words) [view diff] exact match in snippet view article find links to article
the ith of N {\displaystyle N} i.i.d. observations from some joint probability distribution over real random variables X, Y, and Z, with zi having beenGraphical model (1,278 words) [view diff] exact match in snippet view article find links to article
information about each other. Equivalently (in this case), the joint probability distribution can be factorized as: P [ A , B , C , D ] = f A B [ A , B ]Cluster labeling (1,642 words) [view diff] exact match in snippet view article find links to article
{p(x,y)}{p_{1}(x)p_{2}(y)}}\right)}}} where p(x, y) is the joint probability distribution of the two variables, p1(x) is the probability distributionContingency table (1,945 words) [view diff] exact match in snippet view article find links to article
has a simple expression in terms of probabilities; given the joint probability distribution: B = 1 B = 0 A = 1 p 11 p 10 A = 0 p 01 p 00 {\displaystyleAutologistic actor attribute models (908 words) [view diff] exact match in snippet view article find links to article
ALAAMs are exponential models that describe, for a network, a joint probability distribution for whether or not each node in the network exhibits a certainGaussian process approximations (2,033 words) [view diff] exact match in snippet view article find links to article
In general, when no independent relations are assumed, the joint probability distribution can be represented by an arbitrary directed acyclic graph. UsingBell's theorem (9,873 words) [view diff] exact match in snippet view article find links to article
assumption can be replaced; it is equivalent to postulating a joint probability distribution over all the observables of the experiment. In more detail,Vecchia approximation (1,848 words) [view diff] exact match in snippet view article find links to article
generalized giving rise to many contemporary approximations. A joint probability distribution for events A , B {\displaystyle A,B} , and C {\displaystyleList of algorithms (7,945 words) [view diff] exact match in snippet view article find links to article
matrix Gibbs sampling: generates a sequence of samples from the joint probability distribution of two or more random variables Hybrid Monte Carlo: generatesCopulas in signal processing (1,736 words) [view diff] exact match in snippet view article find links to article
TABLE 1. For any two random variables X and Y, the continuous joint probability distribution function can be written as F X Y ( x , y ) = Pr { X ≤ x , YCopula (statistics) (9,355 words) [view diff] exact match in snippet view article
completeness. For any two random variables X and Y, the continuous joint probability distribution function can be written as F X Y ( x , y ) = Pr { X ≤ x , YCursed equilibrium (1,383 words) [view diff] exact match in snippet view article find links to article
T\rightarrow \mathbb {R} } , and types are distributed according to a joint probability distribution p ∈ Δ T {\displaystyle p\in \Delta T} . A finite Bayesian gameGlossary of engineering: A–L (31,753 words) [view diff] exact match in snippet view article find links to article
those based on a single measurement alone, by estimating a joint probability distribution over the variables for each timeframe. The Kalman filter has