Recent studies have documented the important role that ‘‘atmospheric rivers’’ (ARs) of concentrated near-surface water vapor above the Pacific Ocean play in the storms and floods in California, Oregon, and Washington. By delivering large masses of warm, moist air (sometimes directly from the Tropics), ARs establish conditions for the kinds of high snowlines and copious orographic rainfall that ...

The discovery of material properties at extremes, which are essential for high energy density physics development, requires the most advanced experimental facilities, theories, and computations. Nowadays, it is possible to model matter in such conditions using state-of-the-art functional theory (DFT) or path-integral Monte Carlo approaches with remarkable precision. However, fundamental computa...

In this paper, we propose five prediction intervals for the beta autoregressive moving average model. This model is suitable modeling and forecasting variables that assume values in interval $(0,1)$. Two of proposed are based on approximations considering normal distribution quantile function distribution. We also consider bootstrap-based intervals, namely: (i) bootstrap errors (BPE) interval; ...

Mendelian randomization is a technique used to examine the causal effect of modifiable exposure on trait using an observational study by utilizing genetic variants. The use many instruments can help improve estimation precision but may suffer bias when are weakly associated with exposure. To overcome difficulty high-dimensionality, we propose model average estimator which involves different sub...