The phrase "adaptive likelihood" is correct and usable in written English.
It can be used in contexts related to statistics, machine learning, or any field where likelihood functions are adjusted based on changing data or conditions.
Example: "The researchers employed an adaptive likelihood approach to improve the accuracy of their predictive models."
Alternatives: "dynamic probability" or "flexible likelihood".
First, the general polarimetric detecting problem of the distributed targets is developed to the MIMO radar, and then, the fully adaptive Generalized Likelihood Ratio Test (GLRT) is devised according to the well known two-step design procedure.
Before being tested in each of the two experiments, the participants went through 6 runs × 40 trials of an adaptive maximum likelihood procedure, QUEST, as implemented in the Psychophysics Toolbox 3 extensions [26], [27] for MatLab (MathWorks, Natick, MA) in order to estimate spatial frequency discrimination thresholds.
The adaptive log-likelihood surrogates based on the relative error indicators outperform those based on the absolute error indicators, because adaptation based on the relative error indicator puts more sparse-grid nodes in the areas in the parameter space where the log-likelihood is high.
We compared equal randomization (ER) with three RARs: Bayesian adaptive randomization, sequential maximum likelihood, and sequential posterior mean.
The data were analysed using a nonparametric adaptive grid (NPAG) maximum likelihood algorithm.
The parameters were estimated by maximum likelihood with adaptive quadrature using the GLLAMM program [ 24 ].
We therefore selected 130_0068, sig1 and a couple of house-keeping genes for sequencing in the 9 Ectocarpus strains to search for signatures of adaptive evolution using maximum likelihood method implemented in CODEML, PAML 4 [ 60] and HyPhy [ 64].
Although differences in a comprehensive set of relevant baseline characteristics were controlled for in analyses, the possibility that people with an unknown, but better adaptive capacity and lower likelihood of developing a common postpartum mental disorder, were recruited to the intervention group remains.
The adaptive schemes for the maximum likelihood estimation based on gradient-based optimization methods are, in general, preferable.
