The distributed lag model (DLM), used most prominently in air pollution studies, finds application wherever the effect of a covariate is delayed and distributed through time. We specify modified ...

In a recent study posted to the medRxiv* preprint server, an interdisciplinary team of researchers from the United States (US) assessed predictions of the laboratory-confirmed coronavirus disease 2019 ...

A methodology is introduced for identifying dynamic regression or distributed lag models relating two time series. First, specification of a bivariate time-series model is discussed, and its ...

Although recent articles have stressed the importance of testing for unit roots and cointegration in time-series analysis, practitioners have been left without a straightforward procedure to implement ...

This study found interesting, complex and important interactive effects among meteorological factors and ambient air ...

The relationship between economic growth and sustainable energy in India and China is examined using the non-linear autoregressive distributed lag model. The empirical results show that economic ...