Saved in:
| Main Authors: | Xiong, Zikang, Qin, Hong, Huang, Yuning, Ning, Jianhui |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.21827 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the Optimality of Functional Sliced Inverse Regression
by: Chen, Rui, et al.
Published: (2023)
by: Chen, Rui, et al.
Published: (2023)
Asymmetric Space-Time Covariance Functions via Hierarchical Mixtures
by: Ma, Pulong
Published: (2025)
by: Ma, Pulong
Published: (2025)
Learning Mixtures of Nonparametric and Convolutional Measures on Effectively Low-dimensional Affine Spaces
by: Chakraborty, Sunrit, et al.
Published: (2026)
by: Chakraborty, Sunrit, et al.
Published: (2026)
Gaussian-Smoothed Sliced Probability Divergences
by: Alaya, Mokhtar Z., et al.
Published: (2024)
by: Alaya, Mokhtar Z., et al.
Published: (2024)
On Robust Empirical Likelihood for Nonparametric Regression with Application to Regression Discontinuity Designs
by: Fang, Qin, et al.
Published: (2025)
by: Fang, Qin, et al.
Published: (2025)
On the Entropy of General Mixture Distributions
by: Lee, Namyoon
Published: (2026)
by: Lee, Namyoon
Published: (2026)
Sliced gradient-enhanced Kriging for high-dimensional function approximation
by: Cheng, Kai, et al.
Published: (2022)
by: Cheng, Kai, et al.
Published: (2022)
Heavy-Tailed NGG Mixture Models
by: Ramirez, Vianey Palacios, et al.
Published: (2022)
by: Ramirez, Vianey Palacios, et al.
Published: (2022)
A Generative Approach to Quasi-Random Sampling from Copulas via Space-Filling Designs
by: Wang, Sumin, et al.
Published: (2024)
by: Wang, Sumin, et al.
Published: (2024)
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)
Minimax-Optimal Two-Sample Test with Sliced Wasserstein
by: Tran, Binh Thuan, et al.
Published: (2025)
by: Tran, Binh Thuan, et al.
Published: (2025)
Learning with Differentially Private (Sliced) Wasserstein Gradients
by: Rodríguez-Vítores, David, et al.
Published: (2025)
by: Rodríguez-Vítores, David, et al.
Published: (2025)
The Bernstein-von Mises theorem for Semiparametric Mixtures
by: Franssen, Stefan, et al.
Published: (2024)
by: Franssen, Stefan, et al.
Published: (2024)
Sparse Mixture Models inspired by ANOVA Decompositions
by: Hertrich, Johannes, et al.
Published: (2021)
by: Hertrich, Johannes, et al.
Published: (2021)
Bayesian Sparse Gaussian Mixture Model in High Dimensions
by: Yao, Dapeng, et al.
Published: (2022)
by: Yao, Dapeng, et al.
Published: (2022)
Procedural Mixture Sets
by: Rommeswinkel, Hendrik
Published: (2025)
by: Rommeswinkel, Hendrik
Published: (2025)
Mixture Matrix-valued Autoregressive Model
by: Wu, Fei, et al.
Published: (2023)
by: Wu, Fei, et al.
Published: (2023)
Minimax-Optimal Spectral Clustering with Covariance Projection for High-Dimensional Anisotropic Mixtures
by: Huang, Chengzhu, et al.
Published: (2025)
by: Huang, Chengzhu, et al.
Published: (2025)
Structurally Aware Robust Model Selection for Mixtures
by: Li, Jiawei, et al.
Published: (2024)
by: Li, Jiawei, et al.
Published: (2024)
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm
by: Xia, Xintao, et al.
Published: (2024)
by: Xia, Xintao, et al.
Published: (2024)
On the Structural Dimension of Sliced Inverse Regression
by: Huang, Dongming, et al.
Published: (2023)
by: Huang, Dongming, et al.
Published: (2023)
Convergence and Optimality of the EM Algorithm Under Multi-Component Gaussian Mixture Models
by: Bing, Xin, et al.
Published: (2025)
by: Bing, Xin, et al.
Published: (2025)
A Recursive Exponential-Gamma Mixture: a New Generalized of the Lindley Distribution
by: Yaghoubi, Afshin, et al.
Published: (2025)
by: Yaghoubi, Afshin, et al.
Published: (2025)
Bounds on the Number of Modes of a Gaussian Mixture Density
by: Nguyen, Hien Duy
Published: (2026)
by: Nguyen, Hien Duy
Published: (2026)
A Nonparametric Maximum Likelihood Approach to Mixture of Regression
by: Jiang, Hansheng, et al.
Published: (2021)
by: Jiang, Hansheng, et al.
Published: (2021)
Counterfactual Spaces
by: Park, Junhyung, et al.
Published: (2026)
by: Park, Junhyung, et al.
Published: (2026)
Entanglement Entropy of Free Fermions in Timelike Slices
by: Liu, Bowei, et al.
Published: (2022)
by: Liu, Bowei, et al.
Published: (2022)
Modeling Extreme Events in the Presence of Inlier: A Mixture Approach
by: Nila, Shivshankar, et al.
Published: (2025)
by: Nila, Shivshankar, et al.
Published: (2025)
Estimation of the elasticity for CKLS model from high-frequency observations
by: Ning, Boyuan, et al.
Published: (2025)
by: Ning, Boyuan, et al.
Published: (2025)
Local Minima Structures in Gaussian Mixture Models
by: Chen, Yudong, et al.
Published: (2020)
by: Chen, Yudong, et al.
Published: (2020)
$L_q$ Lower Bounds on Distributed Estimation via Fisher Information
by: Chen, Wei-Ning, et al.
Published: (2024)
by: Chen, Wei-Ning, et al.
Published: (2024)
Flexible Bayesian Nonparametric Product Mixtures for Multi-scale Functional Clustering
by: Yao, Tsung-Hung, et al.
Published: (2024)
by: Yao, Tsung-Hung, et al.
Published: (2024)
Kernel entropy estimation for linear processes II
by: Xiong, Yudan, et al.
Published: (2024)
by: Xiong, Yudan, et al.
Published: (2024)
Convergence of Dirichlet Forms for MCMC Optimal Scaling with Dependent Target Distributions on Large Graphs
by: Ning, Ning
Published: (2022)
by: Ning, Ning
Published: (2022)
Expected Weighted D-optimal Designs for Experiments with Mixed Factors
by: Lin, Siting, et al.
Published: (2025)
by: Lin, Siting, et al.
Published: (2025)
Decompounding on Compact Symmetric Spaces
by: Kennerland, Erik
Published: (2026)
by: Kennerland, Erik
Published: (2026)
Mixture of multilayer stochastic block models for multiview clustering
by: De Santiago, Kylliann, et al.
Published: (2024)
by: De Santiago, Kylliann, et al.
Published: (2024)
Relativistic two-fluid hydrodynamics with quantized vorticity from the nonlinear Klein-Gordon equation
by: Xiong, Chi, et al.
Published: (2016)
by: Xiong, Chi, et al.
Published: (2016)
Type I-Type II Mixture Censoring Scheme for Lifetime Data Analysis
by: Anakha, K. K., et al.
Published: (2023)
by: Anakha, K. K., et al.
Published: (2023)
Mixtures of Discrete Decomposable Graphical Models
by: Alexandr, Yulia, et al.
Published: (2024)
by: Alexandr, Yulia, et al.
Published: (2024)
Similar Items
-
On the Optimality of Functional Sliced Inverse Regression
by: Chen, Rui, et al.
Published: (2023) -
Asymmetric Space-Time Covariance Functions via Hierarchical Mixtures
by: Ma, Pulong
Published: (2025) -
Learning Mixtures of Nonparametric and Convolutional Measures on Effectively Low-dimensional Affine Spaces
by: Chakraborty, Sunrit, et al.
Published: (2026) -
Gaussian-Smoothed Sliced Probability Divergences
by: Alaya, Mokhtar Z., et al.
Published: (2024) -
On Robust Empirical Likelihood for Nonparametric Regression with Application to Regression Discontinuity Designs
by: Fang, Qin, et al.
Published: (2025)