Depth-weighted Forecast Combination: Application to COVID-19 Cases

Chest CT Findings (COVID-19), Analysis of 200 Cases (Postmortem)

Background and Objective: COVID-19 was first seen in Wuhan-China in December 2019, and became a widely- spreadepidemic and caused a terrifying life-threatening problem in most societies of the world. In Iran, a declaration was made on  January 20, 2020, and all health systems were alerted of the disease threats. Materials and Methods: We collected all chest CT scans of 200 cases diagnosed as C...

Influence functions of some depth functions, and application to depth-weighted L-statistics

Depth functions are increasingly being used in building nonparametric outlier detectors and in constructing useful nonparametric statistics such as depth-weighted L-statistics. Robustness of a depth function is an essential property for such applications. Here, robustness of three key depth functions, the spatial, simplicial, and generalized Tukey, is explored via the influence function (IF) ap...

Application of Combination Forecast Model in the Medium and Long term Power Load Forecast

The gain of SVC depends upon the type of reactive power load for optimum performance. As the load and input wind power conditions are variable, the gain setting of SVC needs to be adjusted or tuned. In this paper, an ANN based approach has been used to tune the gained parameters of the SVC controller over a wide range of load characteristics. The multi-layer feedforward ANN tool with the error ...

Density Forecast Combination

In this paper we investigate whether and how far density forecasts sensibly can be combined to produce a “better” pooled density forecast. In so doing we bring together two important but hitherto largely unrelated areas of the forecasting literature in economics, density forecasting and forecast combination. We provide simple Bayesian methods of pooling information across alternative density fo...

Forecast Evaluation and Combination