An autoregressive moving average model in which all of the roots of the autoregressive
polynomial are reciprocals of roots of the moving average polynomial and vice versa is called an …

A new class of asymmetric loss functions derived from the least absolute deviations or least
squares loss with a constraint on the mean of one tail of the residual error distribution, is …

The state-space approach provides a formal framework where any result or procedure
developed for a basic model can be seamlessly applied to a standard formulation written in state-…

A espirometria ainda é a ferramenta diagnóstica mais utilizada na avaliação funcional
respiratória. É um exame de ampla aplicabilidade e reprodutibilidade na grande maioria dos …

We propose autoregressive moving average (ARMA) and generalized autoregressive
conditional heteroscedastic (GARCH) models driven by asymmetric Laplace (AL) noise. The AL …

Lattice algorithms for estimating the parameters of a multivariate autoregression are generalized
to deal with subset models in which some of the coefficient matrices are constrained to …

Quando os pesquisadores enviam os resultados de suas investigações para publicação, têm
sua produção intelectual avaliada pelos membros da comunidade científica. O processo, …

Involvement of the Notch signaling pathway in vascular development has been demonstrated
by both gain- and loss-of-function mutations in humans, mice, and zebrafish. In zebrafish, …

We prove that the Hodrick-Prescott Filter (HPF), a commonly used method for smoothing
econometric time series, is a special case of a linear penalized spline model with knots placed …

Asymmetric catalysis constitutes one of the most important subjects in chemistry originating
thousands of published works every year. But still, the application of such methodologies in …