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Find link is a tool written by Edward Betts.searching for Normalizing constant 36 found (72 total)
alternate case: normalizing constant
Continuous Bernoulli distribution
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{\displaystyle [0,1]} -valued data. This practice amounts to ignoring the normalizing constant of the continuous Bernoulli distribution, since the binary crossConway–Maxwell–Poisson distribution (4,363 words) [view diff] exact match in snippet view article find links to article
cumulants, of the CMP distribution can be expressed in terms of the normalizing constant Z ( λ , ν ) {\displaystyle Z(\lambda ,\nu )} . Indeed, The probabilityProportionality (mathematics) (965 words) [view diff] exact match in snippet view article
constant) and its reciprocal is known as constant of normalization (or normalizing constant). Two sequences are inversely proportional if corresponding elementsBuzen's algorithm (1,778 words) [view diff] exact match in snippet view article find links to article
a closed queueing network. Performing a naïve computation of the normalizing constant requires enumeration of all states. For a closed network with N circulatingMarginal likelihood (992 words) [view diff] exact match in snippet view article find links to article
is not on model comparison, the marginal likelihood is simply the normalizing constant that ensures that the posterior is a proper probability. It is relatedKent distribution (823 words) [view diff] exact match in snippet view article find links to article
denotes the transpose of ( ⋅ ) {\displaystyle (\cdot )} , and the normalizing constant c ( κ , β ) {\displaystyle {\textrm {c}}(\kappa ,\beta )\,} is: cExponential family random graph models (3,620 words) [view diff] exact match in snippet view article find links to article
proportional to the probability of y {\displaystyle y} (up to the normalizing constant c ( θ ) {\displaystyle c(\theta )} ). If y {\displaystyle y} is theLewandowski-Kurowicka-Joe distribution (425 words) [view diff] exact match in snippet view article find links to article
p(\mathbf {R} ;\eta )=C\times [\det(\mathbf {R} )]^{\eta -1}} with normalizing constant C = 2 ∑ k = 1 d − 1 ( 2 η − 2 + d − k ) ( d − k ) ∏ k = 1 d − 1 [Markov chain tree theorem (582 words) [view diff] exact match in snippet view article find links to article
_{i}={\frac {1}{Z}}\sum _{T\in {\mathcal {T}}_{i}}w(T),} where the normalizing constant Z {\displaystyle Z} is the sum of w ( T ) {\displaystyle w(T)} overWick rotation (1,489 words) [view diff] exact match in snippet view article find links to article
any observable Q that commutes with the Hamiltonian is, up to a normalizing constant, ∑ j Q j e − E j k B T , {\displaystyle \sum _{j}Q_{j}e^{-{\fracBCMP network (567 words) [view diff] exact match in snippet view article find links to article
_{1}(x_{1})\pi _{2}(x_{2})\cdots \pi _{m}(x_{m}),} where C is a normalizing constant chosen to make the equilibrium state probabilities sum to 1 and πChampernowne distribution (513 words) [view diff] exact match in snippet view article find links to article
{\displaystyle \alpha ,\lambda ,y_{0}} are positive parameters, and n is the normalizing constant, which depends on the parameters. The density may be rewritten asModified half-normal distribution (1,784 words) [view diff] exact match in snippet view article find links to article
distributional aspects, such as the known functional form of the normalizing constant. However, the MHN distribution occurs in diverse areas of researchDimension (vector space) (1,485 words) [view diff] exact match in snippet view article
:=\textstyle {\frac {1}{n}}\operatorname {tr} } ), so in these cases the normalizing constant corresponds to dimension. Alternatively, it may be possible to takeMaximum-entropy random graph model (1,471 words) [view diff] exact match in snippet view article find links to article
_{j=1}^{J}\psi _{j}Q_{j}(G)\right],} where Z {\displaystyle Z} is a normalizing constant (the partition function) and { ψ j } j = 1 J {\displaystyle \{\psiMean value analysis (1,587 words) [view diff] exact match in snippet view article find links to article
and relies on solving systems of linear equations involving the normalizing constant of state probabilities for the queueing network. Approximate MVAGegenbauer polynomials (1,830 words) [view diff] exact match in snippet view article find links to article
They are, in fact, exactly the zonal spherical harmonics, up to a normalizing constant. Gegenbauer polynomials also appear in the theory of positive-definiteBeta-binomial distribution (2,348 words) [view diff] exact match in snippet view article find links to article
-1}(1-p)^{n_{1}-y_{1}+\beta -1}\end{aligned}}} where C {\displaystyle C} is a normalizing constant. We recognize the posterior distribution as a B e t a ( y 1 + αWitten conjecture (1,167 words) [view diff] exact match in snippet view article find links to article
=c_{\Lambda }\exp(-{\text{tr}}X^{2}\Lambda /2)dX} where cΛ is a normalizing constant. This measure has the property that ∫ X i j X k l d μ = δ i l δ jKneser–Ney smoothing (1,048 words) [view diff] exact match in snippet view article find links to article
count of each n-gram, usually between 0 and 1. The value of the normalizing constant λ w i − 1 {\displaystyle \lambda _{w_{i-1}}} is calculated to makeRandom cluster model (1,984 words) [view diff] exact match in snippet view article find links to article
{\displaystyle p=1-e^{-\beta }} , and Z {\displaystyle Z} is an appropriate normalizing constant. Importantly, the indicator function 1 A {\displaystyle 1_{A}} ofExponential distribution (6,647 words) [view diff] exact match in snippet view article find links to article
\end{aligned}}} Now the posterior density p has been specified up to a missing normalizing constant. Since it has the form of a gamma pdf, this can easily be filledExtensions of symmetric operators (3,248 words) [view diff] exact match in snippet view article find links to article
_{-}=c\cdot e^{-x}\}\end{aligned}}} where c {\displaystyle c} is a normalizing constant. The self-adjoint extensions A α {\displaystyle A_{\alpha }} of ALeast-squares support vector machine (3,361 words) [view diff] exact match in snippet view article find links to article
M ) {\displaystyle p(D|\log \mu ,\log \zeta ,\mathbb {M} )} is a normalizing constant such the integral over all possible w {\displaystyle w} and b {\displaystylePartially observable Markov decision process (3,306 words) [view diff] exact match in snippet view article find links to article
1 / Pr ( o ∣ b , a ) {\displaystyle \eta =1/\Pr(o\mid b,a)} is a normalizing constant with Pr ( o ∣ b , a ) = ∑ s ′ ∈ S O ( o ∣ s ′ , a ) ∑ s ∈ S T ( sNaive Bayes classifier (7,137 words) [view diff] exact match in snippet view article find links to article
size}}\mid {\text{female}})}{\text{evidence}}}} The evidence (also termed normalizing constant) may be calculated: evidence = P ( male ) p ( height ∣ male ) p (Markov chain Monte Carlo (8,537 words) [view diff] exact match in snippet view article find links to article
problems or when the stationary distribution is only known up to a normalizing constant (as in most Bayesian applications). The Gelman-Rubin statistic, alsoHHL algorithm (4,990 words) [view diff] exact match in snippet view article find links to article
_{j}^{-1}|\lambda _{j}\rangle } , where C {\displaystyle C} is a normalizing constant. The linear mapping operation is not unitary and thus will requireGamma distribution (9,097 words) [view diff] exact match in snippet view article find links to article
^{-1}q}}{\Gamma (\alpha )^{r}\theta ^{\alpha s}}},} where Z is the normalizing constant with no closed-form solution. The posterior distribution can be foundGaussian beam (6,964 words) [view diff] exact match in snippet view article find links to article
w0 at z from the focus. In this form, the first factor is just a normalizing constant to make the set of uJ orthonormal. The second factor is an additionalDirac delta function (14,230 words) [view diff] exact match in snippet view article find links to article
sequence of point masses at each of the integers. Up to an overall normalizing constant, the Dirac comb is equal to its own Fourier transform. This is significantElliptic rational functions (2,551 words) [view diff] exact match in snippet view article find links to article
{\displaystyle x_{pi}} are the poles, and r 0 {\displaystyle r_{0}} is a normalizing constant chosen such that R n ( ξ , 1 ) = 1 {\displaystyle R_{n}(\xi ,1)=1}Particle filter (16,893 words) [view diff] exact match in snippet view article find links to article
A\right)=E\left(\prod \limits _{k=0}^{n}G_{k}(X_{k})\right)} as soon as the normalizing constant is strictly positive. Initially, such an algorithm starts with NChebyshev polynomials (10,713 words) [view diff] exact match in snippet view article find links to article
if }}~n=m.\end{cases}}} (The measure √1 − x2 dx is, to within a normalizing constant, the Wigner semicircle distribution.) These orthogonality propertiesFourier transform (21,314 words) [view diff] exact match in snippet view article find links to article
frequency" convention above, the factor of 2π appears in neither the normalizing constant nor the exponent. Unlike any of the conventions appearing above,Beta distribution (40,562 words) [view diff] exact match in snippet view article find links to article
next section that the normalizing constant for Jeffreys prior is immaterial to the final result because the normalizing constant cancels out in Bayes'