HKU Scholars Hub: Department of Statistics & Actuarial Science

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High-dimensional feature screening for nonlinear associations with survival outcome using restricted mean survival time

On eigenvalue statistics of large sample covariance matrices and spearman correlation matrices

Using genetics and proteomics data to identify proteins causally related to COVID-19, healthspan and lifespan: a Mendelian randomization study

Biomedical research and clinical trials using restricted mean survival time

Statistical inference in moderately high-dimensional endogenous regressions

Improving Consumer Experience With Pre-Purify Temporal-Decay Memory-Based Collaborative Filtering Recommendation for Graduate School Application

Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation

Maximum likelihood estimation for semiparametric regression models with interval-censored multistate data

Squared normal model and its generalization for the analysis of skewed positive data

Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling

Space, mortality, and economic growth

CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery

MR to ultrasound image registration with segmentation-based learning for HDR prostate brachytherapy

Deep Kronecker network

Individualized image region detection with total variation

Improved estimation of functional enrichment in SNP heritability using feasible generalized least squares

RECIST-Induced Reliable Learning: Geometry-Driven Label Propagation for Universal Lesion Segmentation

DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models

Development and interpretation of a pathomics-driven ensemble model for predicting the response to immunotherapy in gastric cancer

Comprehensive assessment of immune context and immunotherapy response via noninvasive imaging in gastric cancer

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