Sentence examples for model comparison approaches from inspiring English sources

Until recently, Bayesian model comparison approaches such as Bayes factors have largely been ignored in analysing the identifiability of biological systems from time series data [ 14].

Following Barr et al. (2013), we used a model comparison approach.

The segmentation method combines a model comparison approach with a multiscale fusion and a neighbor combination process.

Equations are derived for the proposed Bayesian model comparison approach, in which the inherent spatial variability is modeled explicitly using random field theory.

In this paper a model comparison approach based on material flow systems is investigated that is divided into a microscopic and a macroscopic model scale.

Multiple regression analysis and an information-theoretic model comparison approach were used to identify field and landscape parameters that account for variation in damage.

We tested the proposed model by means of longitudinal structural equation modeling in a 9-year four-wave panel design, by applying a model comparison approach and indirect effect analyses (N = 608 professionals).

To better understand that response, we analysed both an extended fossil pollen data set and robust present-day site parameters from NE Germany in a data model comparison approach.

In an additional block-paradigm experiment where space and time were not conflated, we apply a formal model comparison approach and find that many voxels exhibit more complex tuning properties than predicted by radial bias alone or in combination with other known coarse-scale biases.

Using a model comparison approach, we show that the possession of antennal modifications is highly correlated with antennal coiling behaviour.

After categorizing eyespots as ancestral or derived, we employed an iterative model comparison approach, based on estimated rates of eyespot gains.