We propose and test a simple hedging hypothesis for prediction interval formation in stock price forecasting. In the presence of uncertainty, forecasters hedge their forecasts by adjusting bounds way that reflects forecast average others. This suggests positive relationship between belief wedge, defined as difference subject's others own point forecast, asymmetry interval. Empirical support is ...

Computer vision (CV) has been successfully used in picture categorization applications various fields, including medicine, production quality control, and transportation systems. CV models use an excessive number of photos to train potential models. Considering that image acquisition is typically expensive time-consuming, this study, we provide a multistep strategy improve accuracy with less da...

A standard reference material (SRM 1049) has been developed for the University of Pittsburgh smoke toxicity method. SRM 1049 is a nylon 6/6 and has the molecular structure of [-NH(CH2)6NHCO(CH2)4CO-] n . This SRM is for calibrating the apparatus and providing confidence that the method is being conducted in a correct manner and that the equipment is functioning properly. The certified figure of...

For the prediction with expert advice setting, we consider methods to construct forecasting algorithms that suffer loss not much more than any of experts in the pool. In contrast to the standard approach, we investigate the case of long-term interval forecasting of time series, that is, each expert issues a sequence of forecasts for a time interval ahead and the master algorithm combines these ...

Intermittency and uncertainty pose great challenges to the large-scale integration of wind power, so research on the probabilistic interval forecasting of wind power is becoming more and more important for power system planning and operation. In this paper, a Naive Bayesian wind power prediction interval model, combining rough set (RS) theory and particle swarm optimization (PSO), is proposed t...

Objective: the present meta-analysis was designed to determine the value of Pediatric Emergency Care Applied Research Network (PECARN) rule in prediction of clinically important traumatic brain injury (ciTBI).Methods: Extensive search was conducted in the databases of Medline, Embase, Scopus, Web of Sciences, Cinahl up to the end of August 2017. The search records were screened and summarized b...