Sentence examples for choices in model from inspiring English sources

Fewer anatomical features need to be accounted for when modeling the mandible, therefore allowing us to focus on the choices in model resolution, material properties, and boundary conditions and their effects on analysis results.

Some subjectivity and arbitrariness in the study design is unavoidable, but this setup can give a realistic example of the bias that is induced when certain choices in model selection are based on optimizing performance on the learning data.

According to the previous analysis [ 17], within the category of static, deterministic, aggregate-level models, different choices in model structure lead to relatively modest differences in the estimated cost-effectiveness of rotavirus vaccination while intermediate "non-severe" epidemiologic outcomes vary more substantially depending on choices of model structure.

Importantly, however, choices in modeling affect what causes of a phenomenon of interest are revealed and accentuated (assuming a phenomenon typically has many causes).

The new framework is an automated fully validated procedure which produces standardized reports to quickly oversee the impact of choices in modelling algorithms and assess the model and cross-validation results.

Our choices in modeling the regulatory function of enhancers differ from these previous studies in a number of important respects.

The given summary tries to support potential users in taking the right choice in model selection.

There is, thus, a "choice in model primitives" shortcoming underlying the standard HMM implementations that is resolved in the metastate HMM description to follow.

From Table 1 it can be seen that the MLFD gives the best fit since it has the lowest χ 2 value and is also the first choice in model selection with lowest AIC value.

This case study describes the development of the model, highlighting the choices involved in model development.

Our likelihood model is based upon the multinomial distribution, which is a common choice in modelling count data.