Sentence examples for multivariate prediction problems from inspiring English sources

In this paper, we focus on ridge regression, a penalised regression approach that has been shown to offer good performance in multivariate prediction problems.

This finding leads to a severe problem, at least for multivariate prediction settings with several continuous covariates: For every combination of covariates only one response observation will be available under almost any practical circumstances.

The Multivariate Ensemble Streamflow Prediction (MESP) is employed to sample from historical records for obtaining statistical prediction of multiple variables, which is then used as inputs to achieve multivariate prediction.

In this study, multivariate prediction models achieved a higher level of accuracy than narrow-band vegetation indices, making multivariate modeling the best choice for mapping.

Thus, for the aforementioned issues, we consider both UPMs and multivariate prediction models inappropriate for industrial accident forecasting.

The multivariate PLS method relates two data matrices, X and Y, to each other by a linear multivariate prediction model.

Different clinical prediction problems show different degrees of difficulty.

The enhanced multivariate prediction ability for DFS was not observed for the individual genes.

The last step (Step 3) was the multivariate prediction model construction.

The prediction problem of a multivariate wide-sense stationary process on Z2X= Xm,n)(m,n εZ2 with non-full-rank spectral density along a set of pasts corresponding to a lexicographical ordering of Z2 is considered.

This study aims to apply various neural network techniques, support vector machines and multivariate statistical methods to the bank failure prediction problem in a Turkish case, and to present a comprehensive computational comparison of the classification performances of the techniques tested.