Cover Image

Nonparametric regression for a circular response with error-in-covariate

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Woolsey, Nicholas, Huang, Xianzheng
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Debiased inference in error-in-variable problems with non-Gaussian measurement error
by: Woolsey, Nicholas W., et al.
Published: (2025)

Nonparametric multimodal regression for circular data
by: Alonso-Pena, María, et al.
Published: (2020)

Nonparametric regression of spatio-temporal data using infinite-dimensional covariates
by: Roy, Subhrajyoty, et al.
Published: (2026)

Parametric modal regression with error in covariates
by: Qingyang Liu, et al.
Published: (2024)

Nonparametric modal regression with missing response observations
by: Pérez-González, Ana, et al.
Published: (2025)

Adjusting for bias due to measurement error in functional quantile regression models with error-prone functional and scalar covariates
by: Chen, Xiwei, et al.
Published: (2024)

Omitted covariates bias and finite mixtures of regression models for longitudinal responses
by: Alfo', Marco, et al.
Published: (2026)

Analyzing directional errors in spatial orientation using nonparametric circular regression with mixed covariates
by: Francisco-Fernández, Mario, et al.
Published: (2026)

Nonparametric contaminated Gaussian mixture of regressions
by: Skhosana, Sphiwe B., et al.
Published: (2026)

A covariate-dependent Cholesky decomposition for high-dimensional covariance regression
by: Kim, Rakheon, et al.
Published: (2026)

Post-selection Inference in Regression Models for Group Testing Data
by: Shen, Qinyan, et al.
Published: (2025)

Parametric Modal Regression with Error in Covariates
by: Liu, Qingyang, et al.
Published: (2022)

Post-selection inference in generalized linear models via parametric programming
by: Shen, Qinyan, et al.
Published: (2026)

Nonparametric regression with dependent censoring or competing risks
by: Shih, Jia-Han, et al.
Published: (2026)

Nonparametric covariate hypothesis tests for the cure rate in mixture cure models
by: López-Cheda, Ana, et al.
Published: (2024)

Nonparametric function-on-scalar regression using deep neural networks
by: Takeshita, Kazunori, et al.
Published: (2025)

Nonparametric quantile regression for spatio-temporal processes
by: Deb, Soudeep, et al.
Published: (2024)

Correction of estimator bias in linear regression with categorical covariates with classification error
by: Dias, Alexandre Garcia, et al.
Published: (2025)

A Bayesian regression framework for circular models with INLA
by: Ye, Xiang, et al.
Published: (2026)

Handling cellwise outliers by sparse regression and robust covariance
by: Raymaekers, Jakob, et al.
Published: (2019)

Regression analysis of elliptically symmetric direction data
by: Yu, Zehao, et al.
Published: (2024)

Nonparametric method of structural break detection in stochastic time series regression model
by: Roy, Archi, et al.
Published: (2024)

High-dimensional covariance regression with application to co-expression QTL detection
by: Kim, Rakheon, et al.
Published: (2024)

Bayesian estimation of covariate assisted principal regression for brain functional connectivity
by: Park, Hyung G.
Published: (2023)

The flexible Gumbel distribution: A new model for inference about the mode
by: Liu, Qingyang, et al.
Published: (2022)

Nonparametric assessment of regimen response curve estimators
by: Pham, Cuong, et al.
Published: (2024)

Convex estimation of Gaussian graphical regression models with covariates
by: Liu, Ruobin, et al.
Published: (2024)

Exploring the validity of the complete case analysis for regression models with a right-censored covariate
by: Ashner, Marissa C., et al.
Published: (2023)

Model-based clustering using a new mixture of circular regressions
by: Skhosana, Sphiwe B., et al.
Published: (2026)

Scalable regression calibration approaches to correcting measurement error in multi-level generalized functional linear regression models with heteroscedastic measurement errors
by: Luan, Yuanyuan, et al.
Published: (2023)

Mixtures of multivariate linear asymmetric Laplace regressions with multiple asymmetric Laplace covariates
by: Otto, Arnoldus F., et al.
Published: (2025)

A lack-of-fit test for quantile regression models with high-dimensional covariates
by: Conde-Amboage, Mercedes, et al.
Published: (2015)

Spatial autoregressive model with measurement error in covariates
by: Paul, Subhadeep, et al.
Published: (2024)

Nonparametric goodness-of-fit testing for parametric covariate models in pharmacometric analyses
by: Hartung, Niklas, et al.
Published: (2020)

Tree-aggregated regression for compositional data with measurement errors
by: Li, Zhenghan, et al.
Published: (2026)

Functional regression with multivariate responses
by: Luo, Ruiyan, et al.
Published: (2026)

Bayesian Modal Regression based on Mixture Distributions
by: Liu, Qingyang, et al.
Published: (2022)

Semi-parametric least-area linear-circular regression through Möbius transformation
by: Biswas, Surojit, et al.
Published: (2024)

On the application of Jammalamadaka-Jiménez Gamero-Meintanis test for circular regression model assessment
by: Halaj, Katarina, et al.
Published: (2024)

Bayesian covariance regression for differential network analysis of zero-inflated microbiome data
by: Xu, Zichun, et al.
Published: (2026)