Sentence examples for Statistical modeling and prediction from inspiring English sources

Dive into advanced methods for data wrangling, data visualization, and statistical modeling and prediction.

Building upon the material in Data Science 1, the course introduces advanced methods for data wrangling, data visualization, and statistical modeling and prediction.

The first step consists in the derivation of a statistical model and mutagenicity prediction, followed by further checks for specific structural alerts in the "safe" subset of the prediction outcome space.

The impact statistical modelling and marginal prediction on the variability was apparent if one compares the variability of trial period costs in the raw vs. modelled results.

We need to expand the world of analysis to drive our decision making by the insights found in statistical models and the predictions of likelihood of success.

Based on new (latent three-level) statistical models and theoretical predictions integrating BFLPEs and 'local dominance' effects, significantly negative BFLPEs at the school level are largely eliminated, absorbed into even larger BFLPEs at the class level.

The statistical models and marker densities optimizing prediction of carotenoid levels have not been tested and are especially in question, given that the traits are likely oligogenic in genetic architecture but have been only partially characterized in maize grain (Wong et al. 2004; Chander et al. 2008; Kandianis et al. 2013).

Current Research and Scholarly InterestsFlexible statistical modeling for prediction and representation of data arising in biology, medicine, science or industry.

The systematic approach of sizing the power sources of a HOPS in terms of supply reliability using a statistical model and subsequent validation of the prediction with experimental data taking into consideration the cost of energy generated from the system is the unique feature of the present study.

We present generalized regression analysis and spatial prediction (GRASP) conceptually as a method for producing spatial predictions using statistical models, and introduce and demonstrate a specific implementation in Splus that facilitates the process.

"Much of the most thoughtful work I have found on the use and abuse of statistical models, and on the proper role of prediction, comes from people in the medical profession," Silver reports.