To-date, methods for model averaging have been developed almost exclusively for point-valued data, despite the fact that interval-valued data are commonplace in many applications and the substantial body of lit
To-date, methods for model averaging have been developed almost exclusively for point-valued data, despite the fact that interval-valued data are commonplace in many applications and the substantial body of literature on estimation and inference methods for interval-valued data. This paper focuses on...
For example, the optimal explanatory variables may exhibit significant differences at different time nodes in predicting the ponding process. Show abstract Model averaging for interval-valued data 2022, European Journal of Operational Research Show abstract Forecasting Tourism Demand With a New Time-...
As an extended form of intuitionistic fuzzy set, the theory of interval-valued intuitionistic fuzzy set (IVIFS) can describe fuzziness more flexibly. This
Although the results favored the con- text model over the economy-of-description rule model, we will see that the continuous-dimension version of RULEX fares even better at accounting for the data. A natural way of extending RULEX to the domain of continuous-dimension stimuli is to make use ...
(FRCN) and pretrained CNN models from the ILSVRC ImageNet dataset. They incorporated a selective search for window proposals and employed data augmentation techniques to enhance the logo recognition rate. The novel use of transfer learning and the ability to detect multiple logo instances were key ...
(i = 1, 2, …, N) should be: { 2 −1 ∑ =−01 2 } For the hmeq data set with five trees in the forest, the weights are { 1 31 , 2 31 , 4 31 , 8 31 , 16 31 } which seems reasonable and not that different from the weight computed with Bayesian Model Averaging. ...
and the whiskers are drawn at 1.5× the interquartile range (the distance from the 25th percentile to the 75th percentile). The center is drawn at the median of the data, and the “notch” represents the 95% confidence interval on the median (as determined by nonparametric bootstrap). The...
Model averaging for interval-valued data 2022, European Journal of Operational Research Show abstract Interval time series forecasting: A systematic literature review 2024, Journal of Forecasting Forecasting interval-valued crude oil prices using asymmetric interval models ...
Corrected Mallows criterion for model averaging 2020, Computational Statistics and Data Analysis Show abstract AN ASYMPTOTIC THEORY FOR LEAST SQUARES MODEL AVERAGING WITH NESTED MODELS 2023, Econometric Theory A New Two-Stage Approach with Boosting and Model Averaging for Interval-Valued Crude Oil Prices...