Links

Publications

Courses

Data Sources

• UK Biobank:  https://www.ukbiobank.ac.uk

Programming

• https://docs.aws.amazon.com/ko_kr/parallelcluster/latest/ug/slurm-mem-based-scheduling-v3.html

Miscellaneous

• Modeling and Learning on High-Dimensional Matrix-Variate Sequences 

• Adjusting for principal components can induce spurious associations in genome-wide association studies in admixed populations

• Unified Transfer Learning in High-Dimensional Linear Regression 

• Comparison of the LASSO and Integrative LASSO with Penalty Factors (IPF-LASSO) methods for multi-omics data: Variable selection with Type I error control 

• Parametric programming-based approximate selective inference for adaptive lasso, adaptive elastic net and group lasso

• Distributed optimal subsampling for quantile regression with massive data 

• Robust transfer learning for high-dimensional regression withlinear constraints

• Generalized ridge regression: a note on negative ridge parameters
  
  Anti-ridge regression for communality estimation in factor analysis

• Selection and Aggregation of Conformal Prediction Sets

• Variable Selection for Generalized Linear Model with Highly Correlated Covariates

• Semi-supervised Fr\'echet Regression

• Supervised Topic Modeling: Optimal Estimation and Statistical Inference

• Screen then select: a strategy for correlated predictors in high-dimensional quantile regression

• Penalized joint models of high-dimensional longitudinal biomarkers and a survival outcome

• An enriched approach to combining high-dimensional genomic and low-dimensional phenotypic data

• Compositional variable selection in quantile regression for microbiome data with false discovery rate control

• Covariance Regression with High-Dimensional Predictors

• Integrative machine learning approaches for predicting disease risk using multi-omics data from the UK Biobank

• Data-Driven Knowledge Transfer in Batch Q∗ Learning 

• 24.05.06

• Variable Selection in Ultra-high Dimensional Feature Space for the Cox Model with Interval-Censored Data

• A Bayesian factor analysis model for high-dimensional microbiome count data

• Eigenvector distributions and optimal shrinkage estimators for large covariance and precision matrices

• Regression for matrix-valued data via Kronecker products factorizatio

• Covariance Regression with High-Dimensional Predictors

• Comparison of the LASSO and Integrative LASSO with Penalty Factors (IPF-LASSO) methods for multi-omics data: Variable selection with Type I error control

• Are synthetic health data ‘personal data’? (& 국내 개보위 개인정보 활용 방향)

• Unified Transfer Learning in High-Dimensional Linear Regression

• 24.5.8

• Multivariate reduced rank regression by signal subspace matching

• Transfer learning under the Cox model with interval‐censored data

• Variable Selection for Generalized Linear Model with Highly Correlated Covariates

• Evaluating a shrinkage estimator for the treatment effect in clinical trials

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