Sentence examples for mixture distributions are from inspiring English sources
In contrast to PLSA, LDA further makes the assumption that these mixture distributions are Dirichlet-distributed random variables whose parameters have to be estimated from the training data.
The statistical method used here assumes that underlying mixture distributions are normally distributed and does not rule out the possibility that the two phenotypes are skewed or represent two separate peaks on a single underlying distribution.
When analyzing zero-modified count and semicontinuous data, flexible mixture distributions are often needed to accommodate both the excess zeros and the typically skewed distribution of nonzero values.
Therefore, in principle, the distance between any two documents can be measured by comparing how far apart their topic mixture distributions are.
In the first step, the total sample of students (n = 74,868) were separated into two to eight mixtures and the resulting seven different mixture distributions are compared based on the fit criteria (Model 1; international model).
Among economic variables whose study can benefit from the applications of mixture distributions one can cite firms' investment, households consumption, money demand, household use of healthcare, etc. Finite mixture distributions are commonly used in Econometrics, mainly in cross-sectional and time series analyses.
A semiparametric approach based on Erlang mixture distributions is used to model the general interarrival time distribution.
In recent past, mixture distributions were used to estimate wind energy potential that are quite accurate in describing wind speed characteristics.
Mixture distributions were also explored to examine whether the absorption patterns had a multimodal characteristic.
In addition, a closure approximation based on mixture distribution is developed in order to capture the behaviour of the stochastic SIS model around the threshold between persistence and extinction.
A Laplacian scale mixture distribution is introduced for sparse coding given a sparseness control parameter.
