In many statistical and econometric applications, we gather individual
s...
This paper develops several interesting, significant, and interconnected...
Aspect-based sentiment analysis (ABSA) typically requires in-domain anno...
When a population exhibits heterogeneity, we often model it via a finite...
In many applications, we collect independent samples from interconnected...
The finite Gamma mixture model is often used to describe randomness in i...
Advances in information technology have led to extremely large datasets ...
Classifying and resolving coreferences of objects (e.g., product names) ...
Population quantiles are important parameters in many applications.
Enth...
Consider a population consisting of clusters of sampling units, evolving...
Gaussian mixture reduction (GMR) is the problem of approximating a finit...
Many people believe that it is disadvantageous for members aligning with...
In some applications, an experimental unit is composed of two distinct b...
The testing problem for the order of finite mixture models has a long hi...