Guardado en:
| Autores principales: | Fu, Bo, Jiang, Dandan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2603.19745 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Semiparametric copula-based quantile regression for semicontinuous outcomes with application to healthcare data
por: Lyu, Guanjie, et al.
Publicado: (2026)
por: Lyu, Guanjie, et al.
Publicado: (2026)
Semi-functional partial linear regression with measurement error: An approach based on $k$NN estimation
por: Novo, Silvia, et al.
Publicado: (2024)
por: Novo, Silvia, et al.
Publicado: (2024)
Identifying arbitrary transformation between the slopes in scalar-on-function regression
por: Niyogi, Pratim Guha, et al.
Publicado: (2024)
por: Niyogi, Pratim Guha, et al.
Publicado: (2024)
Sparse semiparametric regression when predictors are mixture of functional and high-dimensional variables
por: Novo, Silvia, et al.
Publicado: (2024)
por: Novo, Silvia, et al.
Publicado: (2024)
Asymptotic confidence bands for the histogram regression estimator
por: Neumeyer, Natalie, et al.
Publicado: (2025)
por: Neumeyer, Natalie, et al.
Publicado: (2025)
Inference for non-stationary time series quantile regression with inequality constraints
por: Sun, Yuan, et al.
Publicado: (2024)
por: Sun, Yuan, et al.
Publicado: (2024)
A kernel-based framework for covariate significance tests in nonparametric regression
por: Diz-Castro, Daniel, et al.
Publicado: (2025)
por: Diz-Castro, Daniel, et al.
Publicado: (2025)
A $k$NN procedure in semiparametric functional data analysis
por: Novo, Silvia, et al.
Publicado: (2024)
por: Novo, Silvia, et al.
Publicado: (2024)
Nonparametric Empirical Bayes Estimation on Heterogeneous Data
por: Banerjee, Trambak, et al.
Publicado: (2020)
por: Banerjee, Trambak, et al.
Publicado: (2020)
Local Fréchet regression with toroidal predictors
por: Im, Chang Jun, et al.
Publicado: (2026)
por: Im, Chang Jun, et al.
Publicado: (2026)
Tighter confidence intervals for quantiles of heterogeneous data
por: Einmahl, John H. J., et al.
Publicado: (2026)
por: Einmahl, John H. J., et al.
Publicado: (2026)
Out-of-bag prediction balls for random forests in metric spaces
por: Serrano, Diego, et al.
Publicado: (2025)
por: Serrano, Diego, et al.
Publicado: (2025)
Deep learning with missing data
por: Ma, Tianyi, et al.
Publicado: (2025)
por: Ma, Tianyi, et al.
Publicado: (2025)
Ill-Conditioned Orthogonal Scores in Double Machine Learning
por: Saco, Gabriel
Publicado: (2025)
por: Saco, Gabriel
Publicado: (2025)
A Bernstein polynomial approach for the estimation of cumulative distribution functions in the presence of missing data
por: Gharbi, Rihab, et al.
Publicado: (2025)
por: Gharbi, Rihab, et al.
Publicado: (2025)
Adaptation using spatially distributed Gaussian Processes
por: Szabo, Botond, et al.
Publicado: (2023)
por: Szabo, Botond, et al.
Publicado: (2023)
Distributional Conformal Prediction for Markov Processes
por: Dai, Dehao, et al.
Publicado: (2026)
por: Dai, Dehao, et al.
Publicado: (2026)
Functional continuum regression
por: Zhou, Zhiyang
Publicado: (2019)
por: Zhou, Zhiyang
Publicado: (2019)
Dirichlet kernel density estimation on the simplex with missing data
por: Daayeb, Hanen, et al.
Publicado: (2026)
por: Daayeb, Hanen, et al.
Publicado: (2026)
Convergence rates of non-stationary and deep Gaussian process regression
por: Osborne, Conor, et al.
Publicado: (2023)
por: Osborne, Conor, et al.
Publicado: (2023)
Mean and Covariance Estimation for Discretely Observed High-Dimensional Functional Data: Rates of Convergence and Division of Observational Regimes
por: Petersen, Alexander
Publicado: (2024)
por: Petersen, Alexander
Publicado: (2024)
Automatic and location-adaptive estimation in functional single-index regression
por: Novo, Silvia, et al.
Publicado: (2024)
por: Novo, Silvia, et al.
Publicado: (2024)
Minimax And Adaptive Transfer Learning for Nonparametric Classification under Distributed Differential Privacy Constraints
por: Auddy, Arnab, et al.
Publicado: (2024)
por: Auddy, Arnab, et al.
Publicado: (2024)
Factor Informed Double Deep Learning For Average Treatment Effect Estimation
por: Fan, Jianqing, et al.
Publicado: (2025)
por: Fan, Jianqing, et al.
Publicado: (2025)
Bayesian joint quantile autoregression
por: Castillo-Mateo, Jorge, et al.
Publicado: (2023)
por: Castillo-Mateo, Jorge, et al.
Publicado: (2023)
A Decision Analysis Framework for High-fidelity and Low-fidelity Systems with Applications in Manufacturing Processes
por: Zhang, Fan, et al.
Publicado: (2026)
por: Zhang, Fan, et al.
Publicado: (2026)
Local regression on path spaces with signature metrics
por: Bayer, Christian, et al.
Publicado: (2025)
por: Bayer, Christian, et al.
Publicado: (2025)
Analyzing directional errors in spatial orientation using nonparametric circular regression with mixed covariates
por: Francisco-Fernández, Mario, et al.
Publicado: (2026)
por: Francisco-Fernández, Mario, et al.
Publicado: (2026)
Regression and Dimension Reduction for Multivariate Mixed-Type Data via Semiparametric Gaussian Copula
por: Dey, Debangan, et al.
Publicado: (2022)
por: Dey, Debangan, et al.
Publicado: (2022)
Inference with Mondrian Random Forests
por: Cattaneo, Matias D., et al.
Publicado: (2023)
por: Cattaneo, Matias D., et al.
Publicado: (2023)
Local linear smoothing for regression surfaces on the simplex using Dirichlet kernels
por: Genest, Christian, et al.
Publicado: (2024)
por: Genest, Christian, et al.
Publicado: (2024)
Single-index models for extreme value index regression
por: Yoshida, Takuma
Publicado: (2022)
por: Yoshida, Takuma
Publicado: (2022)
Unbalanced Kantorovich-Rubinstein distance, plan, and barycenter on finite spaces: A statistical perspective
por: Hundrieser, Shayan, et al.
Publicado: (2022)
por: Hundrieser, Shayan, et al.
Publicado: (2022)
On the Dirichlet-kernel Gasser--Müller estimator and its competitors for fixed design regression on the simplex
por: Daayeb, Hanen, et al.
Publicado: (2025)
por: Daayeb, Hanen, et al.
Publicado: (2025)
Rate accelerated inference for integrals of multivariate random functions
por: Patilea, Valentin, et al.
Publicado: (2024)
por: Patilea, Valentin, et al.
Publicado: (2024)
Statistical exploration of the Manifold Hypothesis
por: Whiteley, Nick, et al.
Publicado: (2022)
por: Whiteley, Nick, et al.
Publicado: (2022)
Multiple Imputation Methods under Extreme Values
por: Brasil, Enzo Porto
Publicado: (2026)
por: Brasil, Enzo Porto
Publicado: (2026)
Empowering Multi-class Classification for Multivariate Functional Data with Simultaneous Feature Selection
por: Wang, Shuoyang, et al.
Publicado: (2025)
por: Wang, Shuoyang, et al.
Publicado: (2025)
Bayesian nonparametric models for zero-inflated count-compositional data using ensembles of regression trees
por: Menezes, André F. B., et al.
Publicado: (2026)
por: Menezes, André F. B., et al.
Publicado: (2026)
Regularized estimation of Monge-Kantorovich quantiles for spherical data
por: Bercu, Bernard, et al.
Publicado: (2024)
por: Bercu, Bernard, et al.
Publicado: (2024)
Ejemplares similares
-
Semiparametric copula-based quantile regression for semicontinuous outcomes with application to healthcare data
por: Lyu, Guanjie, et al.
Publicado: (2026) -
Semi-functional partial linear regression with measurement error: An approach based on $k$NN estimation
por: Novo, Silvia, et al.
Publicado: (2024) -
Identifying arbitrary transformation between the slopes in scalar-on-function regression
por: Niyogi, Pratim Guha, et al.
Publicado: (2024) -
Sparse semiparametric regression when predictors are mixture of functional and high-dimensional variables
por: Novo, Silvia, et al.
Publicado: (2024) -
Asymptotic confidence bands for the histogram regression estimator
por: Neumeyer, Natalie, et al.
Publicado: (2025)