purpose : to evaluate the correlations between visual field (vf) defects with retinal nerve fiber layer (rnfl) thickness in nonarteritic anterior ischemic optic neuropathy (naion) eyes, compare different gdx parameters with the other healthy contralateral eyes, and calculate receiver operating characteristic (roc) curve for the gdx parameters methods : eighteen patients with unilateral naion fr...

A major issue for developing post-processing methods for NWP forecasting systems is the need to obtain complete training datasets. Without a complete dataset, it can become difficult, if not impossible, to train and verify statistical post-processing techniques, including ensemble consensus forecasting schemes. In addition, when ensemble forecast data are missing, the real-time use of the conse...

Table S1: Comparison of patient characteristics of included and excluded interventions. From a total of 2,733 interventions, we excluded 913 interventions due to missing angiographic follow-up. Categorical variables were summarized by absolute counts and relative proportions and were compared with Fisher’s exact test. Continuous variables were summarized by mean and standard deviation and compa...

Least absolute deviation (LAD) regression is an important tool used in numerous applications throughout science and engineering, mainly due to the intrinsic robust characteristics of LAD. In this paper, we show that the optimization needed to solve the LAD regression problem can be viewed as a sequence of maximum likelihood estimates (MLE) of location. The derived algorithm reduces to an iterat...

Abstract In this paper, we present a new multiperiod portfolio selection model with maximum absolute deviation model. The investor is assumed to seeks an investment strategy to maximize his/her terminal wealth, and minimize the total risk in all periods. Different with original consideration that risk is defined as the variance of terminal wealth, in our paper, the total risk is defined as the ...

In this paper, the l1 norm penalty on the filter coefficients is incorporated in the least mean absolute deviation (LAD) algorithm to improve the performance of the LAD algorithm. The performance of LAD, zero-attracting LAD (ZA-LAD) and reweighted zero-attracting LAD (RZA-LAD) are evaluated for linear time varying system identification under the non-Gaussian (α-stable) noise environments. Effec...