Exact(1)
In this paper, inference must be made on the dependence between two or more variables (C i or a functional thereof), conditional on the discrete confounding variable.
Similar(59)
For the analyses presented in this paper, inferences were based on 105,000 iterations after discarding an initial burn-in of 5,000 iterations, with convergence assessed by running multiple chains from various starting values [ 28].
In this paper, three inference methods, MBSI (microRNA-based similarity inference), PBSI (phenotype-based similarity inference) and NetCBI (network-consistency-based inference), were introduced to predict potential miRNA-disease associations based on the global network similarity measure and the assumption that functionally related miRNAs tend to be associated with phenotypically similar diseases.
In this paper, the inference mechanism of the ER algorithm is analyzed first and its patterns of monotonic inference and nonlinear approximation are revealed.
This paper addresses inference of a broad class of latent time-series observed via nonlinear functions.
In this paper, source inference problem is tackled under Independent Cascade (IC) model.
In this paper, nonparametric inference is used to test if F 1=F 2, where F i is the degree of rotational symmetry of distribution i, through a permutation test.
It should be stressed that this paper makes inference about the socio-economic make-up of the communities, not the specific children themselves.
This paper describes the inference procedures required to perform Bayesian inference to some multivariate econometric models.
In this paper, a novel inference engine named fuzzy-evidential hybrid inference engine has been proposed using Dempster Shafer theory of evidence and fuzzy sets theory.
In this paper, the following inference model is used to compute the inference through the nets.
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