Sentence examples for making minimal assumptions from inspiring English sources
The weighted likelihood is a generalization of the likelihood designed to borrow strength from similar populations while making minimal assumptions.
The algorithm is designed for statistical quality of service guarantees and its theoretical foundation stems from the application of the many sources asymptotic, a large deviation result whose general validity and accuracy are specially useful to cope with admissions both to buffered and unbuffered resources making minimal assumptions about the statistical properties of the traffic.
The main goal is to provide an approach that detects aberrant regions while making minimal assumptions about their nature, scale or prevalence.
As for the space equation, we make minimal assumptions.
The motivation behind the use of these methods is to make minimal assumptions about the data used for training.
We make minimal assumptions about the observation equation so that any computable nonlinear function can be accommodated.
In particular, we have looked at the zero leakage (ZL) property of HDSs in the case of a one-dimensional continuous source X and continuous helper data W. We make minimal assumptions, justified by Conjecture 4.7: we consider only monotonic g(x).
The simple approach illustrated here makes minimal assumptions, is generally applicable and would be preferred when little information other than the tracking data are available.
The bootstrap approach makes minimal assumptions, other than that the bootstrap distribution accurately reflects the sampling properties of the estimator, and it is available no matter how mathematically complex the estimator may be.
This model makes minimal assumptions about the time, geographical location, or size of the outbreak, and it adjusts for natural purely spatial and purely temporal variation.
The level of conservation in the alignment was evaluated with the computational algorithm Gumby [ 32] that makes minimal assumptions about the statistical features of conserved noncoding regions and treating the sequence alignment as its own training set.
