Imagen de Portada

Subspace Ordering for Maximum Response Preservation in Sufficient Dimension Reduction

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Boonstra, Derik T., Kim, Rakheon, Young, Dean M.
Formato:	Preprint
Publicado:	2025
Materias:	Methodology Statistics Theory
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Precision Matrix Regularization in Sufficient Dimension Reduction for Improved Quadratic Discriminant Classification
por: Boonstra, Derik T., et al.
Publicado: (2025)

On Sharpened Convergence Rate of Generalized Sliced Inverse Regression for Nonlinear Sufficient Dimension Reduction
por: Choi, Chak Fung, et al.
Publicado: (2026)

Structure-Preserving Nonlinear Sufficient Dimension Reduction for Tensors
por: Lin, Dianjun, et al.
Publicado: (2025)

Score-Preserving Targeted Maximum Likelihood Estimation
por: Pimentel, Noel, et al.
Publicado: (2025)

Sufficient and Necessary Conditions for the Identifiability of DINA Models with Polytomous Responses
por: Lin, Mengqi, et al.
Publicado: (2023)

Poisson Empirical Bayes via Gamma-Smoothed Nonparametric Maximum Likelihood
por: Kim, Taehyun
Publicado: (2026)

Empirical Bayes Estimation and Inference via Smooth Nonparametric Maximum Likelihood
por: Kim, Taehyun, et al.
Publicado: (2026)

Sufficiency-principled Transfer Learning via Model Averaging
por: Zhang, Xiyuan, et al.
Publicado: (2025)

A Generalized Framework for Approximate Co-Sufficient Sampling
por: Xie, Jie, et al.
Publicado: (2025)

Sufficient conditions for proper posteriors in fully-Bayesian Functional PCA
por: Sartini, Joseph, et al.
Publicado: (2026)

Sufficient dimension reduction for regression with spatially correlated errors: application to prediction
por: Forzani, Liliana, et al.
Publicado: (2025)

Model Selection over Partially Ordered Sets
por: Taeb, Armeen, et al.
Publicado: (2023)

Model-oriented Graph Distances via Partially Ordered Sets
por: Taeb, Armeen, et al.
Publicado: (2025)

Invariant Subspace Decomposition
por: Lazzaretto, Margherita, et al.
Publicado: (2024)

A Nonparametric Maximum Likelihood Approach to Mixture of Regression
por: Jiang, Hansheng, et al.
Publicado: (2021)

Testing Elliptical Models in High Dimensions
por: Wang, Siyao, et al.
Publicado: (2024)

Generalized Data Thinning Using Sufficient Statistics
por: Dharamshi, Ameer, et al.
Publicado: (2023)

Extremes in High Dimensions: Methods and Scalable Algorithms
por: Lederer, Johannes, et al.
Publicado: (2023)

Dimension-agnostic inference using cross U-statistics
por: Kim, Ilmun, et al.
Publicado: (2020)

Novel Tau-Informed Initialization for Maximum Likelihood Estimation of Copulas with Discrete Margins
por: van Es, Anna, et al.
Publicado: (2025)

Sufficient digits and density estimation: A Bayesian nonparametric approach using generalized finite Pólya trees
por: Beraha, Mario, et al.
Publicado: (2025)

Maximum Ideal Likelihood Estimation: A Unified Inference Framework for Latent Variable Models
por: Cai, Yizhou, et al.
Publicado: (2024)

Testing Against Tree Ordered Alternatives in One-way ANOVA
por: Halder, Subha, et al.
Publicado: (2025)

Dimension estimation in PCA model using high-dimensional data augmentation
por: Radojicic, Una, et al.
Publicado: (2025)

A Goodness-of-Fit Test for Independent Component Models in High Dimensions
por: Liu, Mingshuo, et al.
Publicado: (2026)

Adaptive Targeted Maximum Likelihood Estimation of the Mean Potential Outcome under a Treatment Rule
por: Xu, Yichen, et al.
Publicado: (2026)

On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models
por: Zhang, Yangjing, et al.
Publicado: (2022)

A Heavily Right Strategy for Statistical Inference with Dependent Studies in Any Dimension
por: Liu, Tianle, et al.
Publicado: (2025)

Maximum-likelihood estimation of the Matérn covariance structure of isotropic spatial random fields on finite, sampled grids
por: Simons, Frederik J., et al.
Publicado: (2025)

Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis
por: Chandra, Noirrit Kiran, et al.
Publicado: (2023)

Besting Good--Turing: Optimality of Non-Parametric Maximum Likelihood for Distribution Estimation
por: Han, Yanjun, et al.
Publicado: (2025)

Model-Agnostic and Uncertainty-Aware Dimensionality Reduction in Supervised Learning
por: Yu, Yue, et al.
Publicado: (2026)

Maximum Likelihood Estimation under the Emax Model: Existence, Geometry and Efficiency
por: Aletti, Giacomo, et al.
Publicado: (2023)

The Optimality of Blocking Designs in Equally and Unequally Allocated Randomized Experiments with General Response
por: Azriel, David, et al.
Publicado: (2022)

Exact P-values for Network Interference
por: Athey, Susan, et al.
Publicado: (2015)

Optimal Estimation of Shared Singular Subspaces across Multiple Noisy Matrices
por: Ma, Zhengchi, et al.
Publicado: (2024)

Convex Distance Operator Transport: A Convex and Geometry-Preserving Formulation
por: Chung, Junhyoung, et al.
Publicado: (2026)

A data-based notion of quantiles on Hadamard spaces
por: Shin, Ha-Young, et al.
Publicado: (2025)

Identifying the Most Appropriate Order for Categorical Responses
por: Wang, Tianmeng, et al.
Publicado: (2022)

Sandwich Boosting for Accurate Estimation in Partially Linear Models for Grouped Data
por: Young, Elliot H., et al.
Publicado: (2023)