Structure-Preserving Nonlinear Sufficient Dimension Reduction for Tensors
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Dianjun, Li, Bing, Xue, Lingzhou |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Variable Selection for Additive Global Fréchet Regression
by: Yang, Haoyi, et al.
Published: (2025)
by: Yang, Haoyi, et al.
Published: (2025)
Asymptotic confidence bands for the histogram regression estimator
by: Neumeyer, Natalie, et al.
Published: (2025)
by: Neumeyer, Natalie, et al.
Published: (2025)
Structured linear factor models for tail dependence
by: Boulin, Alexis, et al.
Published: (2025)
by: Boulin, Alexis, et al.
Published: (2025)
Factor Informed Double Deep Learning For Average Treatment Effect Estimation
by: Fan, Jianqing, et al.
Published: (2025)
by: Fan, Jianqing, et al.
Published: (2025)
Minimax And Adaptive Transfer Learning for Nonparametric Classification under Distributed Differential Privacy Constraints
by: Auddy, Arnab, et al.
Published: (2024)
by: Auddy, Arnab, et al.
Published: (2024)
On the Dirichlet-kernel Gasser--Müller estimator and its competitors for fixed design regression on the simplex
by: Daayeb, Hanen, et al.
Published: (2025)
by: Daayeb, Hanen, et al.
Published: (2025)
Estimation of a Likelihood Ratio Ordered Family of Distributions
by: Mösching, Alexandre, et al.
Published: (2020)
by: Mösching, Alexandre, et al.
Published: (2020)
Local linear smoothing for regression surfaces on the simplex using Dirichlet kernels
by: Genest, Christian, et al.
Published: (2024)
by: Genest, Christian, et al.
Published: (2024)
From Global to Local Correlation: Geometric Decomposition of Statistical Inference
by: Gajer, Pawel, et al.
Published: (2025)
by: Gajer, Pawel, et al.
Published: (2025)
HeteroJIVE: Joint Subspace Estimation for Heterogeneous Multi-View Data
by: Li, Jingyang, et al.
Published: (2025)
by: Li, Jingyang, et al.
Published: (2025)
Central subspace data depth
by: Francisci, Giacomo, et al.
Published: (2026)
by: Francisci, Giacomo, et al.
Published: (2026)
Approximate Factor Model with S-vine Copula Structure
by: Han, Jialing, et al.
Published: (2025)
by: Han, Jialing, et al.
Published: (2025)
Asymptotic Behavior of Principal Component Projections for Multivariate Extremes
by: Drees, Holger
Published: (2025)
by: Drees, Holger
Published: (2025)
Statistical Inference for Low-Rank Tensor Models
by: Xu, Ke, et al.
Published: (2025)
by: Xu, Ke, et al.
Published: (2025)
Factor Adjusted Spectral Clustering for Mixture Models
by: Tang, Shange, et al.
Published: (2024)
by: Tang, Shange, et al.
Published: (2024)
Asymptotic confidence bands for centered purely random forests
by: Neumeyer, Natalie, et al.
Published: (2025)
by: Neumeyer, Natalie, et al.
Published: (2025)
Tensor Time Series Imputation through Tensor Factor Modelling
by: Cen, Zetai, et al.
Published: (2024)
by: Cen, Zetai, et al.
Published: (2024)
Vecchia Gaussian Processes: on probabilistic and statistical properties
by: Szabo, Botond, et al.
Published: (2024)
by: Szabo, Botond, et al.
Published: (2024)
CINDES: Classification induced neural density estimator and simulator
by: Dai, Dehao, et al.
Published: (2025)
by: Dai, Dehao, et al.
Published: (2025)
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
by: Gu, Yihong, et al.
Published: (2024)
by: Gu, Yihong, et al.
Published: (2024)
Nonparametric Envelopes for Flexible Response Reduction
by: Jacobson, Tate
Published: (2025)
by: Jacobson, Tate
Published: (2025)
Log-concave density estimation in undirected graphical models
by: Kubjas, Kaie, et al.
Published: (2022)
by: Kubjas, Kaie, et al.
Published: (2022)
Inference with Mondrian Random Forests
by: Cattaneo, Matias D., et al.
Published: (2023)
by: Cattaneo, Matias D., et al.
Published: (2023)
Functional Partial Least-Squares: Adaptive Estimation and Inference
by: Babii, Andrii, et al.
Published: (2024)
by: Babii, Andrii, et al.
Published: (2024)
Local Fréchet regression with toroidal predictors
by: Im, Chang Jun, et al.
Published: (2026)
by: Im, Chang Jun, et al.
Published: (2026)
Statistical exploration of the Manifold Hypothesis
by: Whiteley, Nick, et al.
Published: (2022)
by: Whiteley, Nick, et al.
Published: (2022)
On Testing Kronecker Product Structure in Tensor Factor Models
by: Cen, Zetai, et al.
Published: (2025)
by: Cen, Zetai, et al.
Published: (2025)
Deep learning with missing data
by: Ma, Tianyi, et al.
Published: (2025)
by: Ma, Tianyi, et al.
Published: (2025)
Adaptation using spatially distributed Gaussian Processes
by: Szabo, Botond, et al.
Published: (2023)
by: Szabo, Botond, et al.
Published: (2023)
Automatic and location-adaptive estimation in functional single-index regression
by: Novo, Silvia, et al.
Published: (2024)
by: Novo, Silvia, et al.
Published: (2024)
Statistical Convergence Rates of Optimal Transport Map Estimation between General Distributions
by: Ding, Yizhe, et al.
Published: (2024)
by: Ding, Yizhe, et al.
Published: (2024)
Shrinkage for Extreme Partial Least-Squares
by: Arbel, Julyan, et al.
Published: (2024)
by: Arbel, Julyan, et al.
Published: (2024)
Robust spectral clustering with rank statistics
by: Cape, Joshua, et al.
Published: (2024)
by: Cape, Joshua, et al.
Published: (2024)
Sparse semiparametric regression when predictors are mixture of functional and high-dimensional variables
by: Novo, Silvia, et al.
Published: (2024)
by: Novo, Silvia, et al.
Published: (2024)
Dirichlet kernel density estimation on the simplex with missing data
by: Daayeb, Hanen, et al.
Published: (2026)
by: Daayeb, Hanen, et al.
Published: (2026)
Alignment-Sensitive Minimax Rates for Spectral Algorithms with Learned Kernels
by: Huang, Dongming, et al.
Published: (2025)
by: Huang, Dongming, et al.
Published: (2025)
Beyond the Trade-off Curve: Multivariate and Advanced Risk-Utility Maps for Evaluating Anonymized and Synthetic Data
by: Thees, Oscar, et al.
Published: (2025)
by: Thees, Oscar, et al.
Published: (2025)
Copula Modelling of Serially Correlated Multivariate Data with Hidden Structures
by: Zimmerman, Robert, et al.
Published: (2022)
by: Zimmerman, Robert, et al.
Published: (2022)
Extreme-PLS with missing data under weak dependence
by: Girard, Stéphane, et al.
Published: (2025)
by: Girard, Stéphane, et al.
Published: (2025)
Bayesian joint quantile autoregression
by: Castillo-Mateo, Jorge, et al.
Published: (2023)
by: Castillo-Mateo, Jorge, et al.
Published: (2023)
Similar Items
-
Variable Selection for Additive Global Fréchet Regression
by: Yang, Haoyi, et al.
Published: (2025) -
Asymptotic confidence bands for the histogram regression estimator
by: Neumeyer, Natalie, et al.
Published: (2025) -
Structured linear factor models for tail dependence
by: Boulin, Alexis, et al.
Published: (2025) -
Factor Informed Double Deep Learning For Average Treatment Effect Estimation
by: Fan, Jianqing, et al.
Published: (2025) -
Minimax And Adaptive Transfer Learning for Nonparametric Classification under Distributed Differential Privacy Constraints
by: Auddy, Arnab, et al.
Published: (2024)