The central challenge for inference on probe sets is that technical sources of variation are very much probe specific, while biological sources influence the entire set of probes.
Next, we look at the central varieties of nonstandard inference in philosophy and its modern 'strong arm' of artificial intelligence: nonmonotonic reasoning with default assumptions, abduction from conclusions to premises, reasoning with probability.
In situations where there is only a single underlying cause, these models formalize the central idea of probabilistic inference of a hidden cause.
Nested sampling calculates two of the central results of Bayesian inference: the posterior distribution P (θ | D, H i ) of the parameters θ, and the evidence P (D | H i ), that is, the support for the data D under hypothesis H i (Skilling, 2006), through a sampling strategy.
He explains how the investigation of causal mechanisms and the making of within-case causal inference are the central goals of multimethod and case study research, and provides a logic for connecting case studies and causal mechanism analysis with cross-case analysis, whether they are statistical analyses, experiments, or QCA.
The fitting of theorized mathematical models to data and the use of the resulting expected properties of these models for inference is the central challenge of much biostatistics.
Even though the distribution of the change from baseline was not normal, the central limit theorem implies valid inference using the t-test when the sample size is more than about 30, and all but 1 subgroup had larger sample sizes.
Codesign of the measurement strategies, the model of a priori information, and the inference algorithm is the central problem of system design.
A logical inference is that the central peaks reported in Figs. 1 and 2 are averaged by the sum of both types of helical rise profiles, 'peak'- and 'V'-shaped, so that the average central peaks are always symmetrical but their maximum values are somehow lowered by the contribution from the 'V'-shaped profile.
