… We extract all forecast related data from Today Investment, which includes: forecast EPS,
report … Forecast Errori,j,t as the proportional mean absolute forecast error of the latest earnings …

… In a model forecast each ensemble member is propagated according to the dynamical system
… The resulting ensemble provides estimates of the forecast state and the corresponding …

… align mobilization requirements with mobilization potential and coordinate dynamic mobilization
requirements during operations through personnel assigned to the TC Joint Operations …

… not only reveals the station activity patterns but also explores the underlying temporal and
spatial dynamics of a city. The clustering results indicate that station activity patterns could be …

… , and predicted traffic status. However, difficulties and issues are raised in traditional Dynamic
Traffic Assignment (DTA) models, including traffic … Wi if the entropy hi (uncertainty) is high. …

… Chen XL (2013) An Approach to scenario construction and dynamic scenario deduction
of … Deng Q, Ma YF, Liu Y et al (2015) Prediction of retweet counts by a back propapagtion …

… in short term is uncertain. However, we can analyze LBT from long-term and predict behavior
of … To conquer timevarying environment, we should dynamic infer system performance and …

… dynamically according to the CRUs’ bandwidth demand. … , most of the radio frequencies
were inefficiently utilized. For … systems where accurate traffic prediction required by these …

… Formulation and solution algorithm for fuzzy dynamic traffic assignment … ⁃ tainty prediction
using radio⁃frequency identification data … Abstract To solve the uncertainty problems in traffic …