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Many numerical techniques exist to perform model comparison, but this paper focuses on nested sampling, which is a numerical integration algorithm for evaluating probabilities of models.
In this study logistic regression is used to estimate the correlation between the dependent variable (occurrence of debris flow) and independent variables (influencing attributes) by evaluating probabilities using a logistic function.
Magnus and Callender argue that "wholesale" arguments that are intended to support realism (or antirealism) about science as a whole (rather than "retail" arguments that are applied to a specific theory) are only taken seriously because of our propensity to engage in the 'base rate fallacy' of evaluating probabilities without knowing all the relevant information.
Another aspect that needs to be considered when evaluating probabilities for extreme population events is how other trophic levels (e.g. host plants and natural enemies) respond to the same environmental change [13], [16], [17].
Thus care has to be shown when defining the performance measures, and when evaluating probabilities in a decision-making context.
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When evaluating probability, event tree technique is employed to analyze probable fire scenarios.
According to this approach, reference classes that are causally homogenous provide the proper basis for evaluating probability relations.
This chapter describes an analysis procedure for evaluating probability that the peak response of a multi-degree-of-freedom (MDOF) system to nonstationary excitation exceeds a specified level.
Evaluating probability figures regarding abnormalities was also described as creating concern and stress for some expectant parents, as this could be difficult to make sense of or grasp.
Although our analysis evaluates probabilities associated with copy numbers up to 16, for clarity we only show values up to 10 here.
To account for phylogenetic mapping uncertainty, we further evaluated probabilities of ancestral states calculated from the same 6001 BI trees using the MCMC method in BayesMultiState [ 73], implemented in the BayesTraits 1.0 package.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com