Sentence examples for example the multivariate from inspiring English sources

For example, the multivariate pattern analysis (MPVA) is progressing toward more fine-grained analysis of brain activity and its location [ 2].

For example, the multivariate model developed by Mankoo et al. (2011) and the sparse regression method proposed by Witten and Tibshirani (2009), both can learn multi-dimensional genomic data in the supervised manner.

For example, the multivariate odds ratios (ORs) for hyperuricemia according to increasing quintiles of serum PTH level were 1, 1.07, 1.22, 1.36, and 1.39 (95% CI, 1.03 to 1.88; P for trend = 0.03).

For example, the multivariate adjusted regression analysis (Model 2) show that women with inability to pay for ordinary bills had an increased risk of 1.81 for psychological distress; 1.85 for severe anxiety and 1.55 for use of antidepressant medications compared with women with no inability to pay for ordinary bills.

(4) For example, in the multivariate Black-Scholes model, the correlation of the log-returns is used as a measure of the dependence between asset processes.

On the example of the multivariate normal distribution we demonstrate that our Depth-Design represents a multidimensional distribution with much less experiments in comparison to the Latin Hypercube design.

The test is executed for example instances of the multivariate distribution, where D = 1, 2, 4, 10 and asking the algorithms to generate 10 to 1,000 samples.

As an example, for SAC, the multivariate odds ratios were 1.23 (95% CL = 0.44, 3.44), 1.17 (95%CL = 0.41, 3.28) and 1.30 (95% CL+0.43, 3.96) respectively for the three upper quartiles in comparison with the lowest quartile.

We give illustrative examples based on the multivariate normal and multivariate Student t distributions.

From the multivariate normal example above it is straightforward to show that the non-informative margins condition of Proposition 1 holds for imputing any W j. The conditional distribution of Y given W, p(Y ∣  W, ψ Y ), is the logistic regression model with covariates W[ 25].

The microarray developed in this study will therefore be suitable for the transcriptional phenotyping of gilthead sea bream welfare and performance, Several studies, for example, are now underway for the multivariate analysis of stress dynamics in relation to nutrition, genotype and stress interactions.