nonparametric models造句

Thus the estimation task is statistically harder in nonparametric models.
Nonparametric models are therefore also called " distribution free ".
In nonparametric models, by contrast, the primary interest is in estimating the infinite-dimensional parameter.
To estimate the parameters for a feature's distribution, one must assume a distribution or generate nonparametric models for the features from the training set.
It may appear at first that semiparametric models include nonparametric models, since they have an infinite-dimensional as well as a finite-dimensional component.
It's difficult to find nonparametric models in a sentence. 用nonparametric models造句挺难的

Such an arrangement has been exploited in the sequence memoizer, a Bayesian nonparametric model for sequences which has a multi-level hierarchy of Pitman-Yor processes.
Regarding semiparametric and nonparametric models, Sir David Cox has said, " These typically involve fewer assumptions of structure and distributional form but usually contain strong assumptions about independencies ".
However, a semiparametric model is considered to be " smaller " than a completely nonparametric model because we are often interested only in the finite-dimensional component of \ theta.
"' Nonparametric models "'differ from parametric models in that the model structure is not specified " a priori " but is instead determined from data.
Formally, if " d " is the dimension of \ Theta and " n " is the number of samples, both semiparametric and nonparametric models have d \ rightarrow \ infty as n \ rightarrow \ infty.
This nonparametric model of entrainment predicted that the difference between an environmental period ( T ) and an organism s intrinsic period ( ? ) is instantaneously corrected every day when light falls at a particular phase ( ? ) of the cycle where a phase shift ( ?? ) equal to this difference is generated.