Sentence examples for describing the conditional from inspiring English sources

Exact(3)

Generally, the second latent variable is in the form of standard normal distribution, and a probit model is used in describing the conditional probability.

They provided a probabilistic tool to display, analyze and visualize the net-like dependence structures by drawing a graph describing the conditional dependencies between the variables.

Graphical models [ 3] provide a probabilistic tool to display, analyze and visualize the net-like dependence structures by drawing a graph describing the conditional dependencies between the variables.

Similar(56)

The Markov condition describes the conditional independence relations present in a causal model that are consequent to its graphical structure, whereas the faithfulness assumption presumes that there are no other independencies in the model.

To characterize the quantitative and qualitative differences in gene expression during tumor transformation, the chapter describes the conditional reconstitution of the expression of an activated K-ras allele in the K-RasD13 knockout cell clones DKO-4 and Hke-3.The Hke-3.Theresents a set of experiments designed to identify transchapterthat respresentsK-Rasetctivity.

Appendix 4 describes the conditional posterior distributions underlying the respective elements of the model; namely of the latent underlying variables, the factor loadings, the direct coefficients, the cutpoints, the latent factors and the indirect coefficients.

where f(x i |θ k ), i = 1,…,N describes the conditional probability density of the observations x 1,…,x N, C(N) is an increasing function of the observations number N, θ ^ p is the estimator for the unknown model parameter based on the observations, and the optimal order choice is such that p ^ = argmin IC(p).

In the following sections, we describe the conditional mutations we have characterized for each affected locus.

The second component describes the conditional distribution of Whale* given the covariates.

In File S1, we describe the conditional distribution for genetic distances.

This file describes the conditional posterior densities for the BSSVS model.

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