Sentence examples for over hypothesis from inspiring English sources

Exact(5)

Even though a correlation between serum and tissue expression should be obtained to support the "spill over" hypothesis, mRNA quantification cannot provide reliable information as to whether: a) the mRNA will be translated into a protein, b) a functional protein will be translated and c) if such a protein will be finally released into the circulation [ 38].

The "worst is over" hypothesis is a powerful strategy, but timing needs to be near perfect.

Proper representation of uncertainty, together with proper control over hypothesis generation, allows to reduce substantially the number of generated hypotheses, achieving stable tracks in real time for a moderate number of simultaneous moving objects.

Unlike most GWAS studies that emphasize discovery and novelty over hypothesis testing, Gong et al. tailored their analysis to explicitly look for overlap with previous findings.

In judging the weight of evidence favoring either the one-pathway model or two-pathway model as a depiction of the true metabolism for benzene (i.e., "truth"), we employed criteria derived from information theory that offer advantages over hypothesis testing in selecting among candidate models derived from scientific considerations (Burnham and Anderson 2002).

Similar(54)

Priestley's preference for "facts" over "hypotheses" in science was consistent with his Dissenting conviction that prejudice and dogma of any sort presented obstacles to individual inquiry and private judgment.

Most of the controversy over the Bayesian method concerns the probability assignment over hypotheses.

There are several problems with this interpretation of the probability assignment over hypotheses.

Relative to a prior probability distribution over hypotheses, and the probability distributions over sample space for each hypothesis, it tells us what the adequate posterior probability over hypotheses is.

For the moment, assume that we can interpret the probability over hypotheses as an expression of epistemic uncertainty.

This leads to some subtle changes in the definition of the distribution over hypotheses and the likelihoods.

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