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Reducing the dimensionality and granularity in hierarchical categorical variables
Free accessArXiv | 2024| -
Linear Manifold Modeling and Graph Estimation based on Multivariate Functional Data with Different Coarseness Scales
Taylor & Francis Verlag | 2023| -
Discussion on: “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models” by Dai, Lin, Zing, Liu
Taylor & Francis Verlag | 2023| -
Selective inference using randomized group lasso estimators for general models
Free accessArXiv | 2023| -
Robust and efficient estimation of nonparametric generalized linear models
Free accessArXiv | 2022| -
Detangling robustness in high dimensions: Composite versus model-averaged estimation
Project Euclid | 2020| -
Detangling robustness in high dimensions: composite versus model-averaged estimation
Free accessArXiv | 2020| -
Macro-Economic Factors in Credit Risk Calculations: Including Time-Varying Covariates in Mixture Cure Models
Taylor & Francis Verlag | 2019|
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