Sentence examples for required for inference from inspiring English sources

The consensus tree represents combined data from three independent runs with 75% consensus required for inference of relatedness.

Calculations required for inference were performed using integrated nested Laplace approximations, a method proposed recently for approximate Bayesian inference in latent Gaussian models.

Results of qualitative research should not be considered generalisable, due to purposive sampling, and in contrast to representative sampling required for inference; however, our results are transferable, insofar as they should reflect the range of themes from the population.

Thus, ENM uncertainties would challenge objective choices, which are required for inferences of population genetics.

This approach also suggests minimal sample sizes required for inferences to be made about taxonomic distinctiveness from observations of monophyly [ 19].

Second, high-density SNP genotyping across multiple populations are required for robust inference and localization of selective effects, and inferences regarding the causes of selection require functional-genomic or ecological-genomic data (Hughes 2007), such as localization of signals to particular functional domains.

However, more experimental data is required for the inference of the rbcL gene characteristic even though the inferring of the ancestral sequence from the current ones is of statistical efficiency [ 90, 91].

In other words, the variable d is assumed endogenous, whereas exogeneity is required for causal inference using OLS and decomposition (I) [10].

Thus, M's causal powers include just those that are relevant to bringing about M* (assuming that other conditions, e.g., belief in other premises required for the inference, are held constant).

Since phenology data sets generally exhibit temporal autocorrelation (i.e., non-independent error variance) and thus break the assumptions of serial independence required for most inference tests (Pyper and Peterman 1998).

Subsequent analysis uses adaptive Markov chain Monte Carlo methods and adaptive importance sampling to perform the integrals required for both inference (planet detection and orbit measurement), and information-maximizing sequential design (for adaptive scheduling of observations).