This online data science course will explore concepts in statistical modeling, such as when to use certain models, how to tune those models, and determining whether other options will provide certain ...

This article investigates a computationally simple variant of boosting, L₂Boost, which is constructed from a functional gradient descent algorithm with the L₂-loss function. Like other boosting ...

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 ...

The model based on Gaussian process (GP) prior and a kernel covariance function can be used to fit nonlinear data with multidimensional covariates. It has been used as a flexible nonparametric ...