This paper develops a frequentist model averaging approach for threshold model specifications. The resulting estimator is proved to be asymptotically optimal in the sense of achieving the lowest possible squared errors. In particular, when com-bining estimators from threshold autoregressive...

Purpose: The purpose of this paper is the presentation and research of a novel sensor fusion-based system for obstacle detection and identification, which uses the millimeter-wave radar to detect the position and velocity of the obstacle. Afterwards, the image processing module uses the...

Purpose This study aims to quantify the underlying feelings of online reviews and discover the role of seasonality in customer dining experiences. Design/methodology/approach This study applied sentiment analysis to determine the polarity of a given comment. Furthermore, content analysis was...

In multi-level organizations, BU employees create budgetary slack from which the entire business unit may benefit but doing so causes agency costs for the organization. Relying on social identity theory, we predict and find, in data gathered by means of an experiment, that shortening the social...

This article considers model averaging in the class of the integer-valued autoregressive (INAR) processes. The INAR process is a class of structural models that can be used to model dependent count data in fields such as medicine, economics, finance and marketing. It specifies the data...