Sentence examples for flexible probability from inspiring English sources

NPMR is a flexible probability modeling system that can find the best subset of habitat factors influencing species occurrence.

Nadarajah (2007) provided simple Maple programs for determining SUH from eleven of the most flexible probability distributions and derived expressions for the unknown parameters in terms of the time to peak, the peak discharge, and the time base.

Moreover, YLoc's flexible probability transformation allows predicting novel location combinations that are not part of the training data.

In the following, we therefore propose a flexible probability-threshold: The cut-off does not occur at a fixed pre-defined level, but where it yields the best separation between singular and regular nodes.

6) Using a site-heterogeneous mixture model (CAT) to allow flexible probabilities of the aminoacid replacement equilibrium frequencies, in order to minimise LBA effects [ 38, 54, 55].

Many research problems involve an abundance of data and require flexible and complex probability models beyond the traditional parametric approaches.

To fit an arbitrary n-dimensional flow data set, we require a flexible yet tractable probability model.

Through the comparison of three methods (Monte Carlo method, DNNM, PSO/BR-DNNM), it is demonstrated that PSO/BR-DNNM reshapes the probability of flexible mechanism probabilistic analysis and improves the computing efficiency while keeping acceptable computational precision.

Another advantage is that extensive theoretical and practical applications of MCMC methods show that they are extremely robust and flexible approaches to model probability distributions [ 5].

In unadjusted analyses, having a state CRC screening mandate for at least 1 year was associated with a 0.4% point increase in the probability of flexible sigmoidoscopy or colonoscopy in the past year (OR: 1.03, 95% CI: 0.99, 1.08, p = 0.09) (Table 3).

The model is flexible in that the probability that sampled respondents belong to a particular class can be linked to covariates (e.g., age, income), hence allowing for some understanding as to the make-up of the various class segments (see Appendix 2 for more details).