The market has come to realize that the triple-A rating for these derivatives is pretty meaningless — that the rating agencies were just as blind to the coming subprime meltdown as everyone on Wall Street, and developed models for rating C.D.O.'s that were far too optimistic.
Reliable models for rate-based phenomena are the backbone of model-based process design.
We study material models for rate-independent inelasticity in situations where no internal length scale is given and formation of microstructure for the deformation gradients and the internal variables may occur.
Soil data and predictive models for rates of harm to soil would need considerable development and validation to implement a priority area approach robustly.
Extensive experiments on a large Netflix rating dataset of movies are performed, which show that our proposed recommendation models largely outperform the baseline models for rating prediction of cold start items.
Probably the most common model for site-to-site rate variation is the discrete approximation to gamma distributed rates [ 25], but all these models are collectively referred to as RAS models for rates across sites.
*** A test of linear trend was obtained using likelihood ratio tests from Poisson regression models for rates based on number of individuals admitted.
We can have the multiobjective model for rate allocation problem: (25).
A typical model for rate adaptation contains a transmitter, a receiver, a forward channel, and a feedback channel, as shown in Figure1.
We used this robust molecular clock estimate as well as estimates derived from a Bayesian model for rate variation among lineages.
We did this because binary data are interpreted by MrBayes as analogous to genetic 'restriction sites.' The restriction site model in MrBayes is a direct application of a model for rate asymmetry in DNA data.
