We consider prediction based on a main model. When the main model shares partial parameters with several other helper models, we make use of the additional information. Specifically, we propose a M…
In this article, we consider the estimation of a panel data binary response model with a weak restriction imposed on the individual specific effects. Our estimator is -consistent and asymptoticall…
As artificial intelligence and digitalization technologies are flourishing real-time, online interaction–based commercial modes, exploiting customers’ purchase intention implied in online inter…
Quality certification is ubiquitously used in markets with asymmetric information, but little is known about the impact of the number of certification tiers on market outcomes. Exploiting a field e…
We have theoretically investigated the polarization-dependent ultrashort pulse amplification in erbium-doped fluoride fibers. The numerical model is based on the coupled generalized nonlinear Schr…
This paper proposes a distributed stress analysis method for fiber winding structures. Compared with the traditional single-layer method, we quantitatively calculated each turn's stress in the fibe…
Large-scale optimization problems (LSOPs) are challenging because the algorithm is difficult in balancing too many dimensions and in escaping from trapped bottleneck dimensions. To improve solution…
This paper studies the communication complexity of convex risk-averse optimization over a network. The problem generalizes the well-studied risk-neutral finite-sum distributed optimization problem,…