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BBGKY hierarchy
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particles. The equation for an s-particle distribution function (probability density function) in the BBGKY hierarchy includes the (s + 1)-particle distributionBivariate von Mises distribution (660 words) [view diff] exact match in snippet view article find links to article
S^{1}\times S^{1}} in R3{\displaystyle \mathbb {R} ^{3}}. The probability density function of the general bivariate von Mises distribution for the anglesSubjective logic (2,463 words) [view diff] case mismatch in snippet view article find links to article
binary state variable, and can be represented as a Beta PDF (Probability Density Function). A multinomial opinion applies to a state variable of multiplePoondi Kumaraswamy (412 words) [view diff] exact match in snippet view article find links to article
developed also the double bounded probability density function (Kumaraswamy distribution), a probability density function suitable for physical variablesTracy–Widom distribution (3,722 words) [view diff] exact match in snippet view article find links to article
′ ( x ) {\displaystyle f_{\beta }(x)=F_{\beta }'(x)} be the probability density function for the distribution, then f β ( x ) ∼ { e − β 24 | x | 3 , xStephen B. Pope (215 words) [view diff] no match in snippet view article find links to article
Fluid Dynamics in 1991, for contributions of archival value to probability-density-function methods in turbulence modeling, to understanding of the geometryForce of mortality (1,137 words) [view diff] exact match in snippet view article find links to article
x(1-F_{X}(x))}}={\frac {F'_{X}(x)}{1-F_{X}(x)}}} Since fX(x)=F 'X(x) is the probability density function of X, and S(x) = 1 - FX(x) is the survival function, the forceComplex random variable (2,276 words) [view diff] exact match in snippet view article find links to article
variable is an example of a complex random variable for which the probability density function is defined. The density function is shown as the yellow diskParametric family (325 words) [view diff] exact match in snippet view article find links to article
distributions, curves, shapes, etc.[citation needed] For example, the probability density function fX of a random variable X may depend on a parameter θ. In thatList of integrals of Gaussian functions (1,808 words) [view diff] exact match in snippet view article find links to article
{1}{\sqrt {2\pi }}}e^{-{\frac {1}{2}}x^{2}}} is the standard normal probability density function, Φ ( x ) = ∫ − ∞ x φ ( t ) d t = 1 2 ( 1 + erf ( x 2 ) ) {\displaystyleElectrochemical noise (490 words) [view diff] exact match in snippet view article find links to article
random low-frequency stochastic processes described by either probability density function equations or in statistical terms. These random processes areExtreme weather (5,732 words) [view diff] exact match in snippet view article find links to article
in the most unusual ten percent (10th or 90th percentile of a probability density function). The main types of extreme weather include heat waves, coldMaximum likelihood sequence estimation (603 words) [view diff] exact match in snippet view article find links to article
L(x)=p(r\mid x),} where p(r | x) denotes the conditional joint probability density function of the observed series {r(t)} given that the underlying seriesStability postulate (571 words) [view diff] exact match in snippet view article find links to article
X_{2},\dots ,X_{n}} are independent random variables with common probability density function p X j ( x ) = f ( x ) , {\displaystyle p_{X_{j}}(x)=f(x),} thenKlein–Kramers equation (2,358 words) [view diff] exact match in snippet view article find links to article
equation is a partial differential equation that describes the probability density function f (r, p, t) of a Brownian particle in phase space (r, p). ItPollaczek–Khinchine formula (867 words) [view diff] exact match in snippet view article find links to article
(1-z))-z}}} where g(s) is the Laplace transform of the service time probability density function. Writing W*(s) for the Laplace–Stieltjes transform of the waitingDebye–Waller factor (3,732 words) [view diff] exact match in snippet view article find links to article
{\displaystyle p_{k}({\vec {x}}_{k}-{\vec {x}}_{k0})} is the probability density function for displacement. x → k 0 {\displaystyle {\vec {x}}_{k0}} isSkewed generalized t distribution (3,598 words) [view diff] exact match in snippet view article find links to article
parameterization that yields the simplest functional form of the probability density function sets m = 0 {\displaystyle m=0} and v = 1 {\displaystyle v=1}Fluctuation loss (1,253 words) [view diff] exact match in snippet view article find links to article
divided by 2. The degree of freedom used in the chi-squared probability density function is a positive number related to the target model. Values of mMax Born (7,358 words) [view diff] exact match in snippet view article find links to article
following year, he formulated the now-standard interpretation of the probability density function for ψ*ψ in the Schrödinger equation, for which he was awardedPrinciple of maximum entropy (4,227 words) [view diff] exact match in snippet view article find links to article
on the expectations of the functions fk, i.e. we require our probability density function to satisfy the inequality (or purely equality) moment constraints:Cluster-weighted modeling (807 words) [view diff] exact match in snippet view article find links to article
x, the modeling and calibration procedure arrives at a joint probability density function, p(y,x). Here the "variables" might be uni-variate, multivariateNoise (spectral phenomenon) (558 words) [view diff] exact match in snippet view article
which has constant power spectral density Gaussian noise, with a probability density function equal to that of the normal distribution Pink noise, with spectralHotelling's T-squared distribution (1,904 words) [view diff] exact match in snippet view article find links to article
Hotelling's T2 distribution Probability density function Cumulative distribution function Parameters p - dimension of the random variables m - relatedNoise (spectral phenomenon) (558 words) [view diff] exact match in snippet view article
which has constant power spectral density Gaussian noise, with a probability density function equal to that of the normal distribution Pink noise, with spectralCokurtosis (1,233 words) [view diff] exact match in snippet view article find links to article
uncorrelated apart from sign for positive values. The joint probability density function is f X , Y ( x , y ) = e − x 2 / 2 2 π ( H ( − x ) δ ( x − yPair distribution function (894 words) [view diff] exact match in snippet view article find links to article
g({\vec {r}},{\vec {r}}')} is obtained by scaling the two-body probability density function by the total number of objects N{\displaystyle N} and the sizeNeutron transport (2,089 words) [view diff] exact match in snippet view article find links to article
g., 2.43 for U-235). χ p ( E ) {\displaystyle \chi _{p}(E)} Probability density function for neutrons of exit energy E {\displaystyle E} from all neutronsKinetic scheme (627 words) [view diff] exact match in snippet view article find links to article
connections are constant with respect to time (and any jumping time probability density function for state i is an exponential, with a rate equal the value ofChapman–Kolmogorov equation (693 words) [view diff] exact match in snippet view article find links to article
{\displaystyle p_{i_{1},\ldots ,i_{n}}(f_{1},\ldots ,f_{n})} be the joint probability density function of the values of the random variables f1 to fn. Then, the Chapman–KolmogorovMicroseism (2,020 words) [view diff] exact match in snippet view article find links to article
Power spectral density probability density function (color scale at right) for 20 years of continuous vertical component seismic velocity data recordedKramers–Moyal expansion (2,228 words) [view diff] exact match in snippet view article find links to article
where the probability density does not change, the moments of a probability density function determines the probability density itself by a Fourier transformBrascamp–Lieb inequality (2,048 words) [view diff] exact match in snippet view article find links to article
y)\}}. Consider a probability density function p(x)=exp(−ϕ(x)){\displaystyle p(x)=\exp(-\phi (x))}. This probability density function p(x){\displaystyleMaxwell's theorem (720 words) [view diff] exact match in snippet view article find links to article
will let that case go.) So now let μ{\displaystyle \mu } have probability density function ρ{\displaystyle \rho }, and the problem reduces to solving theBehrens–Fisher problem (2,361 words) [view diff] exact match in snippet view article find links to article
was proved in 1966 that it has an exact solution. In 2018 the probability density function of a generalized Behrens–Fisher distribution of m means and mMultivariate random variable (3,433 words) [view diff] exact match in snippet view article find links to article
invertible matrix and X {\displaystyle \textstyle \mathbf {X} } has a probability density function f X {\displaystyle f_{\mathbf {X} }} , then the probability densityGroup actions in computational anatomy (1,425 words) [view diff] exact match in snippet view article find links to article
function (ODF) characterizes the angular profile of the diffusion probability density function of water molecules and can be reconstructed from High AngularHeavy-tailed distribution (2,692 words) [view diff] exact match in snippet view article find links to article
distribution. A fat-tailed distribution is a distribution for which the probability density function, for large x, goes to zero as a power x − a {\displaystyle x^{-a}}Entropic uncertainty (2,235 words) [view diff] exact match in snippet view article find links to article
minimizes the variance for a given entropy. In fact, for any probability density function ϕ {\displaystyle \phi } on the real line, Shannon's entropy inequalityCoskewness (1,296 words) [view diff] exact match in snippet view article find links to article
uncorrelated apart from sign for positive values. The joint probability density function is f X , Y ( x , y ) = e − x 2 / 2 2 π ( H ( − x ) δ ( x − yGeneralized chi-squared distribution (1,784 words) [view diff] exact match in snippet view article find links to article
Generalized chi-squared distribution Probability density function Cumulative distribution function Notation χ ~ ( w , k , λ , s , m ) {\displaystyle {\tildeThomas S. Lundgren (150 words) [view diff] exact match in snippet view article find links to article
Lundgren is a Fellow of American Physical Society since 1994. Probability density function methods for turbulence T. S. Lundgren at the University of MinnesotaPoisson binomial distribution (1,547 words) [view diff] case mismatch in snippet view article find links to article
Williams (2010). "Closed-Form Expression for the Poisson-Binomial Probability Density Function". IEEE Transactions on Aerospace and Electronic Systems. 46 (2):Diffusing-wave spectroscopy (894 words) [view diff] exact match in snippet view article find links to article
the particles <Δr2> can be established. Let us note P(s) the probability density function (PDF) of the photon path length s. The relation can be writtenCopula (probability theory) (9,346 words) [view diff] exact match in snippet view article
probability density function between the two random variables can be calculated, or when the two marginal functions and the joint probability densityMean shift (1,978 words) [view diff] exact match in snippet view article find links to article
map near the object's old position. The confidence map is a probability density function on the new image, assigning each pixel of the new image a probabilityOrnstein–Uhlenbeck process (4,602 words) [view diff] exact match in snippet view article find links to article
Ornstein–Uhlenbeck process can also be described in terms of a probability density function, P ( x , t ) {\displaystyle P(x,t)} , which specifies the probabilityMaximum entropy spectral estimation (598 words) [view diff] exact match in snippet view article find links to article
maximum lag in such a way that the entropy of the corresponding probability density function is maximized in each step of the extrapolation. The maximum entropyStretched exponential function (2,268 words) [view diff] exact match in snippet view article find links to article
integrated distribution is a stretched exponential, the normalized probability density function is given by[citation needed] p ( τ ∣ λ , β ) d τ = λ Γ ( 1Geostatistics (1,831 words) [view diff] exact match in snippet view article find links to article
usually denoted as an estimation problem. Sampling from the entire probability density function f(z,x) by actually considering each possible outcome of it atN-sphere (5,971 words) [view diff] exact match in snippet view article find links to article
sampled uniformly at random from the (n-1)-sphere, then its probability density function, for y ∈ [ 0 , 1 ] {\displaystyle y\in [0,1]} , is ρ ( y ) =Residual time (1,148 words) [view diff] exact match in snippet view article find links to article
Differentiating with respect to x {\displaystyle x} , the probability density function can be written as ϕ ( x , t ) = f ( t + x ) + ∫ 0 t f ( u + xCox–Ingersoll–Ross model (1,915 words) [view diff] exact match in snippet view article find links to article
c r t e − a T {\displaystyle 2cr_{t}e^{-aT}} . Formally the probability density function is: f ( r t + T ; r t , a , b , σ ) = c e − u − v ( v u ) q /Fat-tailed distribution (1,130 words) [view diff] exact match in snippet view article find links to article
the record industry, especially in phonographic markets. The probability density function for logarithm of weekly record sales changes is highly leptokurticChapman–Robbins bound (968 words) [view diff] exact match in snippet view article find links to article
example, no assumption is made regarding differentiability of the probability density function p(x; θ) of λ θ {\displaystyle \lambda _{\theta }} . When p(x;Hamburger moment problem (1,175 words) [view diff] exact match in snippet view article find links to article
partial isometries. The cumulative distribution function and the probability density function can often be found by applying the inverse Laplace transformTI-36 (1,401 words) [view diff] exact match in snippet view article find links to article
quadratic and cubic regressions Distribution functions: normal probability density function at mean=0 and sigma=1 (f(x), probability between x boundaries)Probit (1,447 words) [view diff] exact match in snippet view article find links to article
{dw}{dp}}={\frac {1}{f(w)}}} where f ( w ) {\displaystyle f(w)} is the probability density function of w. In the case of the Gaussian: d w d p = 2 π e w 2 2 {\displaystyleNoise (electronics) (2,201 words) [view diff] exact match in snippet view article
spectrum. The amplitude of the signal has very nearly a Gaussian probability density function. A communication system affected by thermal noise is often modelledLangevin equation (5,221 words) [view diff] exact match in snippet view article find links to article
x}}+k_{\text{B}}Tf''(x)\right\rangle =0.} This average can be written using the probability density function p ( x ) {\displaystyle p(x)} ; ∫ ( − f ′ ( x ) ∂ V ∂ x p ( xCompleteness (statistics) (1,776 words) [view diff] exact match in snippet view article
of X1 + X2 is normal with expectation 2θ and variance 2. Its probability density function in x {\displaystyle x} is therefore proportional to exp ( −And Be a Villain (2,469 words) [view diff] exact match in snippet view article find links to article
portion of a radical sign. A more accurate discussion of the probability density function can be found at Normal distribution. Jacques Barzun and WendellLists of mathematics topics (2,591 words) [view diff] exact match in snippet view article find links to article
The "bell curve"—the probability density function of the normal distribution.Distribution of the product of two random variables (7,761 words) [view diff] exact match in snippet view article find links to article
{\displaystyle f_{X}} and f Y {\displaystyle f_{Y}} then the probability density function of Z = X Y {\displaystyle Z=XY} is f Z ( z ) = ∫ − ∞ ∞ f X (Bayesian econometrics (1,423 words) [view diff] exact match in snippet view article find links to article
{\displaystyle \theta } ; f ( y ) {\displaystyle f(y)} : the probability density function of y {\displaystyle y} . The posterior function is given by πGolomb coding (2,607 words) [view diff] exact match in snippet view article find links to article
approach is used: first, the block of data is scanned to estimate a probability density function (PDF) for the data. The Golomb–Rice parameter is then determinedMinimum mean square error (9,310 words) [view diff] exact match in snippet view article find links to article
Bayesian approach, such prior information is captured by the prior probability density function of the parameters; and based directly on Bayes theorem, it allowsEmanuel Parzen (374 words) [view diff] case mismatch in snippet view article find links to article
Wilks Memorial Medal Parzen, E. (1962). "On Estimation of a Probability Density Function and Mode" (PDF). The Annals of Mathematical Statistics. 33 (3):Respiratory droplet (2,065 words) [view diff] exact match in snippet view article find links to article
The probability density function for droplets in the breath of someone speaking, as a function of diameter. Note that both axes are log scales, we breatheSpatial heterogeneity (1,283 words) [view diff] exact match in snippet view article find links to article
explained by the stratification. The q follows a noncentral F probability density function. Spatial heterogeneity for multivariate data and 3D data canPareto principle (2,770 words) [view diff] exact match in snippet view article find links to article
variation caused by individual slopes squared. This derives from the probability density function for multiple variables or the multivariate distribution (we areMisconceptions about the normal distribution (1,557 words) [view diff] exact match in snippet view article find links to article
Y)} of a random point in the plane are chosen according to the probability density function p ( x , y ) = 1 2 π 3 [ exp ( − 2 3 ( x 2 + x y + y 2 ) ) +Twisting properties (1,304 words) [view diff] exact match in snippet view article find links to article
Joint probability density function of parameters ( K , Λ ) {\displaystyle (K,\Lambda )} of a Gamma random variable.Generalized additive model for location, scale and shape (1,642 words) [view diff] no match in snippet view article find links to article
y_{i}} for i = 1 , 2 , … , n {\displaystyle i=1,2,\dots ,n} with probability (density) function f ( y i | μ i , σ i , ν i , τ i ) {\displaystyle f(y_{i}|\muGeneralized least squares (2,833 words) [view diff] exact match in snippet view article find links to article
parameters b {\displaystyle \mathbf {b} } , the conditional probability density function of the errors are assumed to be p ( ε | b ) = 1 ( 2 π ) n detRevenue equivalence (2,645 words) [view diff] exact match in snippet view article find links to article
with support [0,1], cumulative distribution function F(v) and probability density function f(v). If buyers behave according to their dominant strategiesFundamental thermodynamic relation (2,661 words) [view diff] exact match in snippet view article find links to article
thermodynamic relation together with the following three postulates The probability density function is proportional to some function of the ensemble parameters andCombustion models for CFD (1,349 words) [view diff] exact match in snippet view article find links to article
Center, UW Madison.) Pope_NACM_91.pdf—“combustion modeling using probability density function methods” S.B.Pope. Pope_ACAC_97.pdf---“Turbulence CombustionMarket design (4,204 words) [view diff] exact match in snippet view article find links to article
{\displaystyle {{v}_{1}}} and v 2 {\displaystyle {{v}_{2}}} with probability density function f ( v 1 , v 2 ) {\displaystyle f({{v}_{1}},{{v}_{2}})} are affiliatedBray–Moss–Libby model (858 words) [view diff] exact match in snippet view article find links to article
occurs instantaneously at the reaction sheet. Therefore, the probability density function for the progress variable is given by P ( c , x , t ) = α ( xVariational autoencoder (3,158 words) [view diff] exact match in snippet view article find links to article
{\displaystyle q_{\phi }(z|x)} . Let q 0 {\displaystyle q_{0}} be the probability density function for ϵ {\displaystyle \epsilon } , then [clarification needed]Multivariate Pareto distribution (1,298 words) [view diff] exact match in snippet view article find links to article
Multivariate Pareto distribution of the First Kind has the joint probability density function given by f(x1,…,xk)=a(a+1)⋯(a+k−1)(∏i=1kθi)−1(∑i=1kxiθi−k+1)−(a+k)Outlier (3,484 words) [view diff] exact match in snippet view article find links to article
unknown random vector x is represented by a set Xi (instead of a probability density function). If no outliers occur, x should belong to the intersection ofBayesian experimental design (1,401 words) [view diff] exact match in snippet view article find links to article
utility criterion chosen. If the model is linear, the prior probability density function (PDF) is homogeneous and observational errors are normally distributedEntropy (statistical thermodynamics) (2,671 words) [view diff] exact match in snippet view article
classical "heat engine" entropy under the following postulates: The probability density function is proportional to some function of the ensemble parameters andCEDAR-FOX (1,065 words) [view diff] exact match in snippet view article find links to article
using pdf. Distribution for distance space is modeled using probability density function which are represented as Gaussian or Gamma distribution. theCensoring (statistics) (1,845 words) [view diff] exact match in snippet view article
_{i}=0}S(u_{i})} where f ( u i ) {\displaystyle f(u_{i})} = the probability density function evaluated at u i {\displaystyle u_{i}} , and S ( u i ) {\displaystyleEntropy (statistical thermodynamics) (2,671 words) [view diff] exact match in snippet view article
classical "heat engine" entropy under the following postulates: The probability density function is proportional to some function of the ensemble parameters andAuxiliary particle filter (2,049 words) [view diff] exact match in snippet view article find links to article
The random sampled particles can be used to approximate the probability density function of the continuous random variable if the value M → ∞ {\displaystyleMichael Schlesinger (467 words) [view diff] exact match in snippet view article find links to article
Michael E. (16 October 2001). "Objective estimation of the probability density function for climate sensitivity". Journal of Geophysical Research: AtmospheresMomentum-transfer cross section (874 words) [view diff] exact match in snippet view article find links to article
}{\mathrm {d} \Omega }}(\theta )/\sigma _{\mathrm {tot} }} as a probability density function). Therefore, for a given total cross section, one does not needBorel–Kolmogorov paradox (2,512 words) [view diff] exact match in snippet view article find links to article
)={\frac {1}{4\pi }}(1+\sin(\varphi ))(\theta +\pi )} The joint probability density function is then given by f Φ , Θ ( φ , θ ) = ∂ 2 ∂ φ ∂ θ F Φ , Θ ( φSpearman's rank correlation coefficient (4,158 words) [view diff] exact match in snippet view article find links to article
based on Hermite polynomials, allow sequential estimation of the probability density function and cumulative distribution function in univariate and bivariateStatistical mechanics (4,986 words) [view diff] exact match in snippet view article find links to article
relation together with the following set of postulates: The probability density function is proportional to some function of the ensemble parameters andGlauber–Sudarshan P representation (2,027 words) [view diff] no match in snippet view article find links to article
even if P ( α ) {\displaystyle P(\alpha )} behaved like a true probability density [function], it would not describe probabilities of mutually exclusivePi-system (2,891 words) [view diff] exact match in snippet view article find links to article
then the probability can be expressed as an integral of the probability density function of Z . {\displaystyle Z.} P [ R ≤ ρ , Θ ≤ θ ] = ∫ R ≤ ρ , ΘDensity matrix (5,163 words) [view diff] exact match in snippet view article find links to article
{\displaystyle W(x,p,t)} reduces to the classical Liouville probability density function in phase space. Density matrices are a basic tool of quantumBox–Muller transform (2,037 words) [view diff] exact match in snippet view article find links to article
, divided by π {\displaystyle \pi } . From this we find the probability density function to have the constant value 1 on the interval (0, 1). EquallyDe Moivre's law (1,374 words) [view diff] exact match in snippet view article find links to article
{\displaystyle \mu (x)=-S'(x)/S(x)=f(x)/S(x),} where f(x) is the probability density function. Under de Moivre's law, the force of mortality for a life agedModified lognormal power-law distribution (986 words) [view diff] exact match in snippet view article find links to article
function with no joining conditions. The closed form of the probability density function of the MLP is as follows: f ( m ) = α 2 exp ( α μ 0 + α 2 σEntropy in thermodynamics and information theory (3,687 words) [view diff] exact match in snippet view article find links to article
classical thermodynamics entropy under the following postulates: The probability density function is proportional to some function of the ensemble parameters andMehler kernel (2,593 words) [view diff] exact match in snippet view article find links to article
here is p(x,y)/p(x)p(y) where p(x,y) is the bivariate Gaussian probability density function for variables x,y having zero means and unit variances: p ( x