Sentence examples for model the conditional from inspiring English sources
In this model the conditional mean function and the conditional variance function are unknown curves.
In this paper, we adopt this method to model the (conditional) means E[s|X] of the share values s given the covariate vector X.
In most situations, social scientists are not equipped with all the necessary covariates to successfully model the conditional relationships between variables of interest.
In order to model the conditional diffusive heat and mass fluxes in the joint probability density function (PDF) transport equation of the thermochemical variables, the diffusive fluxes are decomposed into their Favre mean and fluctuation.
For the general mixture PD model, the conditional item response probabilities are defined as upeta_{pi} = left{ begin{array}{*{20}ll} upalpha_{i } cdot uptheta_{p } + upbeta_{i}, &quad {text{if}}; updelta_{p} le i, tilde{upalpha }_{ig} cdot tilde{uptheta }_{p } + tilde{upbeta }_{ig},&quad {text{if}} ; updelta_{p} > i, end{array} right.
The metafeatures built for this method are created to model the conditional distributions such that the mapping process will select a feature pair with similar conditional distributions as this implies they are more similar for classifying a label and thus should be mapped together.
Extensions of Poisson regression are commonly applied to overdispersed count data, focused on modelling the conditional mean of the response.
Generalized Poisson regression is commonly applied to overdispersed count data, and focused on modelling the conditional mean of the response.
Once the correlation channel has been modelled, the conditional entropy of every bit-plane in every frequency band (that is coded according to the QM) is determined.
The CRF here models the conditional probability of the alignment given the pair of sequences to be aligned.
Briefly, this involves modeling the conditional likelihood of the observed SNP genotypes and tumor subtypes, given the disease phenotypes.
