Sentence examples for multivariate predictive distributions from inspiring English sources

One strategy is to design postprocessing methods that yield truly multivariate predictive distributions.

These distributions are sampled and used to simulate from multivariate predictive densities.

Despite the low P values associated with univariate comparisons, the distributions manifest substantial overlap between the passed and failed categories, highlighting the need for a multivariate predictive model.

For multivariate predictive controller, selection of predictive horizon is an input-output pairing problem.

We are seeking a computer science or biostatistical postdoc with experience in multivariate predictive modeling and machine learning.

Broad major topics include Bayes theorem, prior distributions, posterior distributions, predictive distributions, and Markov chain Monte Carlo sampling methods.

The test characteristics of the multivariate predictive model and the neural network were compared.

The scatterplots illustrate the relationships between these two variables, with superimposed posterior predictive distributions.

Brain morphometric data was employed to create multivariate predictive models using learning machine techniques (Figure 67).

The predictive distribution functions are determined.

Lobo, J. et al. AUC: a misleading measure of the performance of predictive distribution models.