Sentence examples for inference is used from inspiring English sources

Extant IS literature relies almost exclusively on explanatory statistical modeling, where statistical inference is used to test and evaluate the explanatory power of underlying causal models, and predictive power is assumed to follow automatically from the explanatory model [1, 8].

Bayesian inference is used to estimate the model parameters from experimental data.

Following a sensitivity study, Bayesian inference is used to update the information of relevant uncertain variables.

Fuzzy inference is used to identify conflicts, to simply arguments, and to measure the favorability of an argument.

Based on the SPAc model outputs, Bayesian inference is used to calibrate the simple photosynthesis model scalar coefficients at eight European cereal crop sites.

The in-plane geometric deviations are mapped into an established deviation space and Bayesian inference is used to estimate geometric deviations patterns by statistical learning from multiple shapes data.

Bayesian inference was used to estimate the model parameters and the posterior predictive distribution of crack length.

A deterministic likelihood-based parameter estimation followed by Bayesian inference was used to estimate model-specific parameters.

Sampling and statistical inference are used in circumstances in which it is impractical to obtain information from every member of the population, as in biological or chemical analysis, industrial quality control, or social surveys.

Bayesian inference was used to characterize parameters in Paris' law and error term.

Classifications describe which sentences in schematic arguments are premises and conclusions and what rules of inference are used.