This paper considers the problem of model averaging for regression models that can be nonlinear in their parameters and variables. We consider a nonlinear model averaging (NMA) framework and propose a weight-choosing criterion, the nonlinear information criterion (NIC). We show that up to a...

We propose a new ensemble classification algorithm, named super random subspace ensemble (Super RaSE), to tackle the sparse classification problem. The proposed algorithm is motivated by the random subspace ensemble algorithm (RaSE). The RaSE method was shown to be a flexible framework that can...

We show that Mallows' model averaging estimator proposed by Hansen (2007) can be written as a least squares estimation with a weighted L₁ penalty and additional constraints. By exploiting this representation, we demonstrate that the weight vector obtained by this model averaging procedure has a...

Performance evaluation for universities or research institutions has become a hot topic in recent years. However, the previous works rarely investigate the multiple departments’ performance of a university, and especially, none of them consider the non-homogeneity among the universities’...

We consider a supply chain in which an original equipment manufacturer (OEM) procures a key component from a supplier. We consider an ingredient branding strategy under which the supplier and the OEM form a brand alliance. Specifically, the supplier invests in ingredient branding to build up her...

There is an urgent need to mitigate global warming for all countries around the world. The People’s Republic of China (PRC) has announced a series of energy and climate policy targets in contributing its efforts toward meeting the ambitious goals in the Paris Agreement and the newly pledged...

Many countries have introduced policy measures, such as carbon pricing, greenhouse gas offsetting mechanisms, renewable energy standards, and energy efficiency improvements, to achieve their climate change mitigation targets. However, in many instances, these measures overlap in ways that may...

This study investigates the asymmetric roles of business ties and political ties in innovation processes. The study posits that business ties strengthen organizational competence and enhance the environmental fit. In contrast, political ties increase the environmental fit but ossify...

This paper argues for a bidirectional relationship between competitive intensity perceived by a firm and its strategic response in the form of forging collaborations. Consistent with a variety of theoretical perspectives including enactment, cognition and the resource based view, we...