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Find link is a tool written by Edward Betts.searching for Normalizing constant 37 found (71 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 probabilityBuzen'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 circulatingProportionality (mathematics) (1,012 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 elementsMarginal likelihood (891 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 (818 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 (3,553 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 (436 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 ( 2 η − 2 + d − k ) ( d − k ) ∏ k = 1 d − 1 [ B (Fox–Wright function (1,746 words) [view diff] exact match in snippet view article find links to article
} A special case of Fox–Wright function appears as a part of the normalizing constant of the modified half-normal distribution with the pdf on ( 0 , ∞Markov chain tree theorem (578 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 (1,418 words) [view diff] exact match in snippet view article find links to article
Boltzmann constant. The average value of an observable Q is, up to a normalizing constant, ∑ j Q j e − E j k B T , {\displaystyle \sum _{j}Q_{j}e^{-{\fracChampernowne distribution (477 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 asBCMP 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 πModified half-normal distribution (1,782 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 \{\psiGegenbauer polynomials (1,339 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-definiteMean 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 MVABeta-binomial distribution (2,207 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 + αGrouped Dirichlet distribution (724 words) [view diff] exact match in snippet view article find links to article
{\displaystyle 0=s_{0}<s_{1}\leqslant \cdots \leqslant s_{m}=n} . The normalizing constant given by c m = { ∏ j = 1 m B ( a s j − 1 + 1 , … , a s j ) } ⋅Witten 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 (1,980 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 (6,567 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 filledNaive Bayes classifier (5,489 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 (Extensions of symmetric operators (3,246 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 (3,305 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 ( sHHL algorithm (4,849 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 (8,713 words) [view diff] exact match in snippet view article find links to article
{p^{k-1}e^{-\theta ^{-1}q}}{\Gamma (k)^{r}\theta ^{ks}}},} where Z is the normalizing constant with no closed-form solution. The posterior distribution can be foundGaussian beam (6,948 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 (13,791 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 (16,920 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 NFourier transform (21,038 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 (40,380 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 theoremChebyshev polynomials (11,368 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 properties