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09/16/2023
Optimal Estimation under a Semiparametric Density Ratio Model
In many statistical and econometric applications, we gather individual s...
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03/29/2023
Global Consistency of Empirical Likelihood
This paper develops several interesting, significant, and interconnected...
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02/04/2022
Zero-Shot Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) typically requires in-domain anno...
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07/03/2021
Minimum Wasserstein Distance Estimator under Finite Location-scale Mixtures
When a population exhibits heterogeneity, we often model it via a finite...
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03/05/2021
Density ratio model with data-adaptive basis function
In many applications, we collect independent samples from interconnected...
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11/08/2020
Consistency of the MLE under a two-parameter gamma mixture model with a structural shape parameter
The finite Gamma mixture model is often used to describe randomness in i...
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10/20/2020
Distributed Learning of Finite Gaussian Mixtures
Advances in information technology have led to extremely large datasets ...
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10/11/2020
A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining
Classifying and resolving coreferences of objects (e.g., product names) ...
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07/21/2020
Empirical Likelihood Ratio Test on quantiles under a Density Ratio Model
Population quantiles are important parameters in many applications. Enth...
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04/28/2020
Permutation tests under a rotating sampling plan with clustered data
Consider a population consisting of clusters of sampling units, evolving...
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02/19/2020
A Unified Framework for Gaussian Mixture Reduction with Composite Transportation Distance
Gaussian mixture reduction (GMR) is the problem of approximating a finit...
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11/22/2019
Minority Voter Distributions and Partisan Gerrymandering
Many people believe that it is disadvantageous for members aligning with...
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05/04/2019
Test for homogeneity with unordered paired observations
In some applications, an experimental unit is composed of two distinct b...
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09/17/2018
