Saved in:
| Main Authors: | Kapla, Daniel, Bura, Efstathia |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.20216 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs
by: Kofnov, Andrey, et al.
Published: (2025)
by: Kofnov, Andrey, et al.
Published: (2025)
Sparse Fréchet Sufficient Dimension Reduction with Graphical Structure Among Predictors
by: Weng, Jiaying, et al.
Published: (2023)
by: Weng, Jiaying, et al.
Published: (2023)
Structure-Preserving Nonlinear Sufficient Dimension Reduction for Tensors
by: Lin, Dianjun, et al.
Published: (2025)
by: Lin, Dianjun, et al.
Published: (2025)
Moment-based Density Elicitation with Applications in Probabilistic Loops
by: Kofnov, Andrey, et al.
Published: (2023)
by: Kofnov, Andrey, et al.
Published: (2023)
Fréchet Sufficient Dimension Reduction for Metric Space-Valued Data via Distance Covariance
by: Huang, Hsin-Hsiung, et al.
Published: (2024)
by: Huang, Hsin-Hsiung, et al.
Published: (2024)
Minimum Average Deviance Estimation for Sufficient Dimension Reduction
by: Adragni, Kofi P., et al.
Published: (2016)
by: Adragni, Kofi P., et al.
Published: (2016)
Golden Ratio-Based Sufficient Dimension Reduction
by: Yang, Wenjing, et al.
Published: (2024)
by: Yang, Wenjing, et al.
Published: (2024)
Robust Sufficient Dimension Reduction via $α$-Distance Covariance
by: Huang, Hsin-Hsiung, et al.
Published: (2024)
by: Huang, Hsin-Hsiung, et al.
Published: (2024)
Learning Functional Graphs with Nonlinear Sufficient Dimension Reduction
by: Kim, Kyongwon, et al.
Published: (2026)
by: Kim, Kyongwon, et al.
Published: (2026)
Enhancing Sufficient Dimension Reduction via Hellinger Correlation
by: Hong, Seungbeom, et al.
Published: (2024)
by: Hong, Seungbeom, et al.
Published: (2024)
Sufficient Dimension Reduction via Inverse Conditional Mean or Variance Independence
by: Liu, Jicai, et al.
Published: (2026)
by: Liu, Jicai, et al.
Published: (2026)
Subspace Ordering for Maximum Response Preservation in Sufficient Dimension Reduction
by: Boonstra, Derik T., et al.
Published: (2025)
by: Boonstra, Derik T., et al.
Published: (2025)
On Sharpened Convergence Rate of Generalized Sliced Inverse Regression for Nonlinear Sufficient Dimension Reduction
by: Choi, Chak Fung, et al.
Published: (2026)
by: Choi, Chak Fung, et al.
Published: (2026)
Precision Matrix Regularization in Sufficient Dimension Reduction for Improved Quadratic Discriminant Classification
by: Boonstra, Derik T., et al.
Published: (2025)
by: Boonstra, Derik T., et al.
Published: (2025)
FlowSDR: Sufficient Dimension Reduction via Conditional Normalizing Flows
by: Dong, Yuexiao, et al.
Published: (2026)
by: Dong, Yuexiao, et al.
Published: (2026)
Unified Distributed Estimation Framework for Sufficient Dimension Reduction Based on Conditional Moments
by: Li, Hongying, et al.
Published: (2025)
by: Li, Hongying, et al.
Published: (2025)
Dimension Reduction in Multivariate Extremes via Latent Linear Factor Models
by: Boulin, Alexis, et al.
Published: (2026)
by: Boulin, Alexis, et al.
Published: (2026)
Tensor Formulation of the General Linear Model with Einstein Notation
by: Kress, Gavin T.
Published: (2023)
by: Kress, Gavin T.
Published: (2023)
Posterior Mode Guided Dimension Reduction for Bayesian Model Averaging in Heavy-Tailed Linear Regression
by: De, Shamriddha, et al.
Published: (2026)
by: De, Shamriddha, et al.
Published: (2026)
High-dimensional Statistical Inference and Variable Selection Using Sufficient Dimension Association
by: Ye, Shangyuan, et al.
Published: (2024)
by: Ye, Shangyuan, et al.
Published: (2024)
Best Subset Solution Path for Linear Dimension Reduction Models using Continuous Optimization
by: Liquet, Benoit, et al.
Published: (2024)
by: Liquet, Benoit, et al.
Published: (2024)
Enhancing Spatial Functional Linear Regression with Robust Dimension Reduction Methods
by: Beyaztas, Ufuk, et al.
Published: (2024)
by: Beyaztas, Ufuk, et al.
Published: (2024)
Jointly Modeling and Clustering Tensors in High Dimensions
by: Cai, Biao, et al.
Published: (2021)
by: Cai, Biao, et al.
Published: (2021)
Cellwise Robust Twoblock Dimension Reduction
by: Serneels, Sven
Published: (2026)
by: Serneels, Sven
Published: (2026)
Sequential and Simultaneous Distance-based Dimension Reduction
by: Ni, Yijin, et al.
Published: (2019)
by: Ni, Yijin, et al.
Published: (2019)
Robust Twoblock Simultaneous Dimension Reduction
by: Serneels, Sven
Published: (2026)
by: Serneels, Sven
Published: (2026)
Variable Importance in Generalized Linear Models -- A Unifying View Using Shapley Values
by: Acemoglu, Sinan, et al.
Published: (2026)
by: Acemoglu, Sinan, et al.
Published: (2026)
An Efficient and Interpretable Autoregressive Model for High-Dimensional Tensor-Valued Time Series
by: Cai, Yuxi, et al.
Published: (2025)
by: Cai, Yuxi, et al.
Published: (2025)
The Sufficient and Necessary Condition for the Identifiability and Estimability of the DINA Model
by: Gu, Yuqi, et al.
Published: (2017)
by: Gu, Yuqi, et al.
Published: (2017)
A Bayesian Sparse Kronecker Product Decomposition Framework for Tensor Predictors with Mixed-Type Responses
by: Wang, Shao-Hsuan, et al.
Published: (2025)
by: Wang, Shao-Hsuan, et al.
Published: (2025)
Probabilistic Modelling is Sufficient for Causal Inference
by: Mlodozeniec, Bruno, et al.
Published: (2025)
by: Mlodozeniec, Bruno, et al.
Published: (2025)
Dimension Reduction for Characterizing Sexual Dimorphism in Biomechanics of the Temporomandibular Joint
by: Park, Sung Hee, et al.
Published: (2025)
by: Park, Sung Hee, et al.
Published: (2025)
A Generalized Framework for Approximate Co-Sufficient Sampling
by: Xie, Jie, et al.
Published: (2025)
by: Xie, Jie, et al.
Published: (2025)
A Principal Square Response Forward Regression Method for Dimension Reduction
by: Li, Zheng, et al.
Published: (2024)
by: Li, Zheng, et al.
Published: (2024)
A Local Modal Outer-Product-Gradient Estimator for Dimension Reduction
by: Li, Zheng, et al.
Published: (2024)
by: Li, Zheng, et al.
Published: (2024)
Maximum Agreement Linear Predictors
by: Kim, Taeho, et al.
Published: (2023)
by: Kim, Taeho, et al.
Published: (2023)
Dimension Reduction for Large-Scale Federated Data: Statistical Rate and Asymptotic Inference
by: Shen, Shuting, et al.
Published: (2023)
by: Shen, Shuting, et al.
Published: (2023)
Generalized Data Thinning Using Sufficient Statistics
by: Dharamshi, Ameer, et al.
Published: (2023)
by: Dharamshi, Ameer, et al.
Published: (2023)
Sufficiency-principled Transfer Learning via Model Averaging
by: Zhang, Xiyuan, et al.
Published: (2025)
by: Zhang, Xiyuan, et al.
Published: (2025)
Learning When the Concept Shifts: Confounding, Invariance, and Dimension Reduction
by: Dharmakeerthi, Kulunu, et al.
Published: (2024)
by: Dharmakeerthi, Kulunu, et al.
Published: (2024)
Similar Items
-
Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs
by: Kofnov, Andrey, et al.
Published: (2025) -
Sparse Fréchet Sufficient Dimension Reduction with Graphical Structure Among Predictors
by: Weng, Jiaying, et al.
Published: (2023) -
Structure-Preserving Nonlinear Sufficient Dimension Reduction for Tensors
by: Lin, Dianjun, et al.
Published: (2025) -
Moment-based Density Elicitation with Applications in Probabilistic Loops
by: Kofnov, Andrey, et al.
Published: (2023) -
Fréchet Sufficient Dimension Reduction for Metric Space-Valued Data via Distance Covariance
by: Huang, Hsin-Hsiung, et al.
Published: (2024)