Sentence examples for on conditional independence from inspiring English sources

It firstly designs a draft of the real network, based on conditional independence tests and Maximum Information Coefficient, which helps in finding more correct dependent relationship between variables.

As with OLS, PSM relies on conditional independence (or the selection on observables assumption) that requires no selection on unobservables conditional on the observables.

As noted in Section 4, all our results rely on conditional independence and therefore should be interpreted with this assumption in mind.

LCA derives clusters based on conditional independence assumptions applied to multivariate categorical data distributed as binomial or multinomial variables [ 16, 17].

Despite differences in theoretical backgrounds and terminology, they can all be grouped into only three classes: constraint-based algorithms, that are based on conditional independence tests; score-based algorithms, that are based on goodness-of-fit scores; and hybrid algorithms, that combine the previous two approaches.

The three structures where (i) X causes Y, which causes Z; (ii) Z causes Y, which causes X; and (iii) Y is a common cause of X and Z are statistically indistinguishable on the basis of conditional independence relations, even if we assume both the (CMC) and the faithfulness condition.

However, we lean toward the adjusted estimate of Model 1 (Table 2) that is based on extrapolation from the measured sensitivity and specificity of cervical punch biopsy and on the assumption of conditional independence of cytology and biopsy results given true disease status.

LPA is also based on the principle of conditional independence, which dictates that classes be created such that indicator variables are statistically uncorrelated [ 30].

We recognize that the prohibitively high dimensionality of the data will still pose a problem (particularly if sample size is small), and, as we rely on the assumption of conditional independence in this paper, we may need additional assumptions in the disease network for a computationally feasible solution.

In practice, assuming that, with the number of words in the text and the number of segments, and relying on the traditional hypothesis of conditional independence of the observations (words within a segment are independent from words in the other segments given the segmentation), the search problem is given by (7).

Lastly, Bayesian networks are a variety of graphical model founded on a more refined notion of conditional independence, conferring directionality to the edges; they are also well-established as a methodology for estimating gene regulatory networks [14].