The marginal distributions of U t), t = 0, 1,… are uniformly distributed on [0, 1], but, in contrast to the case of independent identically distributed random variables, the entire sequence can be predicted from knowledge of U 0).
The procedure uses local distribution regression to estimate the marginal distributions of the potential outcomes.
The red histograms on the top x-axes and right y-axes show the marginal distributions of the data drawn from the posterior.
The general extreme value distribution was found to fit the marginal distributions of bi-basin low flows.
In order to estimate these JPDFs from the marginal distributions of the variables a copula-based approach is introduced.
The method optimizes a scalar cost function of the Fisher information matrix over a set of marginal distributions of stationary processes.
Differences are analyzed from a statistical perspective by comparing marginal distributions of two outputs and considering spatial variation of the differences.
Three bivariate Archimedean copulas and five common univariate distributions were applied to fit the joint and marginal distributions of bi-basin low flows.
In this paper we present techniques that allow obtaining joint and marginal distributions of random variables arising in urn designs with immigration.
Then, the correlation coefficient of the UCS and E sample pairs is obtained, together with marginal distributions of UCS and E, and their mean and standard deviation.
Parallel marginalization is an efficient Markov chain Monte Carlo (MCMC) strategy that uses lower dimensional approximate marginal distributions of the target distribution to accelerate equilibration.
