A team led by the Institut de Ciències del Mar (ICM-CSIC) has described a sustained and unprecedented decrease in the ...

Interpretability has drawn increasing attention in machine learning. Partially linear additive models provide an attractive middle ground between the simplicity of generalized linear model and the ...

There is hardly any literature on modelling nonlinear dynamic relations involving nonnormal time series data. This is a serious lacuna because nonnormal data are far more abundant than normal ones, ...

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The systematic evaluation of the results of time-series studies of air pollution is challenged by differences in model specification and publication bias. We evaluated the associations of inhalable ...

This is a preview. Log in through your library . Abstract We consider the optimization of smoothing parameters and variance components in models with a regular log likelihood subject to quadratic ...