Examples of such models include the normal distribution model and the linear regression model. Nonparametric statistics sometimes use data that is ordinal, meaning it relies not on numbers but on ...

Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...

Bayesian field theory denotes a nonparametric Bayesian approach for learning functions ... models discussed in the paper are those of general density estimation, Gaussian regression, clustering, ...

One can assess the assumption of constant noise variance (homoscedasticity) by plotting absolute values of residuals together with a smooth, nonparametric regression line. If the noise is ...