A mixed distribution is a mixture of discrete and continuous daily rainfall which included the dry days. The mixed distributions tested in this study were exponential distribution, gamma distribution, weibull distribution and lognormal distribution. The model will be selected based on the Akaike ...
Information-theoretic latent distribution modeling: distinguishing discrete and continuous latent variable models. Distinguishing between discrete and continuous latent variable distributions has become increasingly important in numerous domains of behavioral science. H... KE Markon,RF Krueger - 《Psychol Method...
We propose using a fully data-driven cross-validation approach to choose the bandwidths, and further derive the asymptotic optimality theory. In addition, we also establish the asymptotic distribution and uniform consistency (with convergence rates) for the local linear conditional quantile estimators ...
Specifically, we obtain a classification procedure as an extension to the so-called location linear discriminant function, by specifying a general mixed-data model for the joint distribution of the mixed discrete and continuous variables. We outline methods for estimating misclassification error rates. ...
Beta distributionMixture modelsKernel smoothingWhen considering a mixed probability measure on [0, 1] with atoms in zero and one, the frontier points have to be treated (and "weighted") differently and separately with respect to the interior points. In order to avoid the troublesome consequences ...
sampleswith shape(n, d), wherenis the number of samples anddis the number of elements per sample. First, specify which of the elements are continuous. If, for instance, the distribution has three elements and the first and last elements are continuous whereas the second element is discrete:...
Examples and illustrations are provided, and applications to the distribution of sums of dependent random variables as well as the stress testing of general dependence structures are given. A particularly interesting feature of index-mixed copulas is that they allow one to provide a revealing ...
By using the Kolmogorov-Smirnov statistical test, the results confirm that the time series can be modelled with this type of mixed distribution. Based on this, the return values and the confidence intervals for wave height in different periods of time are also calculated....
Next, missing data were imputed based on Multiple Imputation by Chained Equations using the “miceForest” Python package (see supplementary Imputation section and Table S2). Finally, standard scaling to a z-distribution was applied to all numerical (continuous, discrete, and ordinal) variables from...
It calculates and plots multivariate marginal probability densities, samples from the distribution, estimates the model from the samples and calculates entropy.Functionsmixedvinefit - Mixed copula vine estimates mixedvinepdf - Mixed copula vine probability density function mixedvinernd - Mixed copula vine...