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08/30/2023
Can Prompt Learning Benefit Radiology Report Generation?
Radiology report generation aims to automatically provide clinically mea...
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07/15/2023
Corrected kernel principal component analysis for model structural change detection
This paper develops a method to detect model structural changes by apply...
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07/15/2023
Byzantine-robust distributed one-step estimation
This paper proposes a Robust One-Step Estimator(ROSE) to solve the Byzan...
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03/06/2023
Model checking for high-dimensional parametric regressions: the conditionally studentized test
This paper studies model checking for general parametric regression mode...
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02/28/2023
PANACEA: An Automated Misinformation Detection System on COVID-19
In this demo, we introduce a web-based misinformation detection system P...
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12/16/2022
Score function-based tests for ultrahigh-dimensional linear models
To sufficiently exploit the model structure under the null hypothesis su...
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06/27/2022
Two ridge ratio criteria for multiple change point detection in tensors
This paper proposes two novel criteria for detecting change structures i...
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06/18/2022
A general Monte Carlo method for multivariate goodness-of-fit testing applied to elliptical families
A general and relatively simple method for construction of multivariate ...
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05/06/2022
Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media
Building models to detect vaccine attitudes on social media is challengi...
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01/29/2022
Weighted residual empirical processes, martingale transformations and model checking for regressions
In this paper we propose a new methodology for testing the parametric fo...
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10/30/2021
Testing semiparametric model-equivalence hypotheses based on the characteristic function
We propose three test criteria each of which is appropriate for testing,...
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10/29/2021
Optimal prediction for kernel-based semi-functional linear regression
In this paper, we establish minimax optimal rates of convergence for pre...
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06/02/2021
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection
Emotion detection in dialogues is challenging as it often requires the i...
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09/23/2020
A projection-based model checking for heterogeneous treatment effect
In this paper, we investigate the hypothesis testing problem that checks...
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09/23/2020
On IPW-based estimation of conditional average treatment effect
The research in this paper gives a systematic investigation on the asymp...
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09/22/2020
Outcome regression-based estimation of conditional average treatment effect
The research is about a systematic investigation on the following issues...
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09/22/2020
The Role of Propensity Score Structure in Asymptotic Efficiency of Estimated Conditional Quantile Treatment Effect
When a strict subset of covariates are given, we propose conditional qua...
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09/22/2020
Limiting laws for extreme eigenvalues of large-dimensional spiked Fisher matrices with a divergent number of spikes
Consider the p× p matrix that is the product of a population covariance ...
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09/12/2020
Doubly robust estimation for conditional treatment effect: a study on asymptotics
In this paper, we apply doubly robust approach to estimate, when some co...
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08/11/2020
A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings
We propose a novel generative model to explore both local and global con...
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05/29/2020
Doubly robust estimation of average treatment effect revisited
The research described herewith is to re-visit the classical doubly robu...
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05/27/2020
Neural Temporal Opinion Modelling for Opinion Prediction on Twitter
Opinion prediction on Twitter is challenging due to the transient nature...
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03/24/2020
Model Checking for Parametric Ordinary Differential Equations System
Ordinary differential equations have been used to model dynamical system...
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03/03/2020
Detecting multiple change points: a PULSE criterion
The research described herewith investigates detecting change points of ...
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10/31/2019
Order Determination for Spiked Models
Motivated by dimension reduction in regression analysis and signal detec...
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05/20/2019
Integrated conditional moment test and beyond: when the number of covariates is divergent
The classic integrated conditional moment test is a promising method for...
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03/09/2019
Adaptive-to-model hybrid of tests for regressions
In model checking for regressions, nonparametric estimation-based tests ...
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08/08/2018