Many popular statistical models, such as factor and random effects models, give arise a certain type of covariance structures that is a summation of low rank and sparse matrices. This paper introduces a penalized approximation framework to recover such model structures from large covariance...

An experimental unit is an opportunity to randomly apply or withhold a treatment. There is interference between units if the application of the treatment to one unit may also affect other units. In cognitive neuroscience, a common form of experiment presents a sequence of stimuli or requests for...

This article documents the Great Trade Collapse of 2008–09, as well as the dramatic recovery in trade of 2009–10. The authors consider how three distinct policy actions — fiscal stimulus, funding for trade finance and a commitment to refrain from increasing trade barriers — might have...

In this paper, an optical analysis on the end loss effect of parabolic trough solar collector (PTC) with horizontal north–south axis (PTC-HNSA) is performed, and a method to compensate its end loss effect is presented. The calculation formulae for the optical end loss ratio and the increased...

This paper proposes a new method for estimating sparse precision matrices in the high dimensional setting. It has been popular to study fast computation and adaptive procedures for this problem. We propose a novel approach, called Sparse Column-wise Inverse Operator, to address these two issues....

A novel method with a rigorous theoretical foundation is proposed for establishing robust short-term distributions of load extremes of offshore wind turbines. Based on the wind turbine load time series, the proposed method begins with incorporating a declustering algorithm into the peaks over...

We select the per capita gross domestic product and rural residents' per capita net income in Xinjiang as the indicator variables to measure economic growth and farmers' income increase in Xinjiang, respectively. We establish the cointegration equation, the vector error correction (VEC) model,...