Behavioral economists fiddle with it, improving the assumptions and making them psychologically sensible.
These solutions are used to improve the initial assumption of the interface temperature until convergence.
Recently, the iterative MSFV (i-MSFV) method was introduced to iteratively improve the localization assumption, and it was shown that the method converges to the fine-scale reference solution.
Coronary artery resistance was log-transformed in all analyses to improve the normality assumption.
Biomarker values were transformed by the natural logarithm to improve the normality assumption of the linear models.
In order to improve the TFA, the assumption of uniformity of the inelastic strain distribution is removed, so that a nonuniform inelastic strain field, better representing the inelasticity distribution in the composite, is considered.
That is why new and better observations are needed to improve the fundamental assumptions on which the models are based.
Correspondingly, weights calculated by this method can better measure the interdependence between nodes and can improve the conditional independence assumption.
Assimilation of the geomagnetic observations with numerical geodynamo models will help validate and improve the approximations and assumptions made in the models, thus help to better understand the dynamo solutions and the dynamical states in the Earth's outer core.
A future aspect is to iteratively improve the initial regulation assumptions by e.g. using Bayesian statistics, coupled with an expectation-maximization algorithm.
