Regression and Dimension Reduction for Multivariate Mixed-Type Data via Semiparametric Gaussian Copula
Fuente:
arXiv
Saved in:
| Main Authors: | Dey, Debangan, Zipunnikov, Vadim |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multivariate Functional Principal Component Analysis for Mixed-Type mHealth Data: An Application to Mood Disorders
by: Dey, Debangan, et al.
Published: (2026)
by: Dey, Debangan, et al.
Published: (2026)
Semiparametric copula-based quantile regression for semicontinuous outcomes with application to healthcare data
by: Lyu, Guanjie, et al.
Published: (2026)
by: Lyu, Guanjie, et al.
Published: (2026)
Quick and Simple Kernel Differential Equation Regression Estimators for Data with Sparse Design
by: Ge, Chunlei, et al.
Published: (2024)
by: Ge, Chunlei, et al.
Published: (2024)
Nonparametric geostatistical risk mapping
by: Fernández-casal, Rubén, et al.
Published: (2024)
by: Fernández-casal, Rubén, et al.
Published: (2024)
Nonparametric conditional risk mapping under heteroscedasticity
by: Fernández-Casal, Rubén, et al.
Published: (2024)
by: Fernández-Casal, Rubén, et al.
Published: (2024)
Adaptive Kernel Regression for Constrained Route Alignment: Theory and Iterative Data Sharpening
by: Du, Shiyin, et al.
Published: (2026)
by: Du, Shiyin, et al.
Published: (2026)
Debiased inference in error-in-variable problems with non-Gaussian measurement error
by: Woolsey, Nicholas W., et al.
Published: (2025)
by: Woolsey, Nicholas W., et al.
Published: (2025)
Trend Filtered Mixture of Experts for Automated Gating of High-Frequency Flow Cytometry Data
by: Hyun, Sangwon, et al.
Published: (2025)
by: Hyun, Sangwon, 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)
On the Structural Dimension of Sliced Inverse Regression
by: Huang, Dongming, et al.
Published: (2023)
by: Huang, Dongming, et al.
Published: (2023)
Maximum smoothed likelihood method for the combination of multiple diagnostic tests, with application to the ROC estimation
by: Zheng, Fangyong, et al.
Published: (2026)
by: Zheng, Fangyong, et al.
Published: (2026)
Semiparametric marginal promotion time cure model for clustered survival data
by: Xiao, Fei, et al.
Published: (2025)
by: Xiao, Fei, et al.
Published: (2025)
Localizing differences in smooths with simultaneous confidence bounds on the true discovery proportion
by: Swanson, David
Published: (2020)
by: Swanson, David
Published: (2020)
Variable Selection for Additive Global Fréchet Regression
by: Yang, Haoyi, et al.
Published: (2025)
by: Yang, Haoyi, et al.
Published: (2025)
Efficient Inference on High-Dimensional Linear Models with Missing Outcomes
by: Zhang, Yikun, et al.
Published: (2023)
by: Zhang, Yikun, et al.
Published: (2023)
Copula based dependent censoring in cure models
by: Delhelle, Morine, et al.
Published: (2024)
by: Delhelle, Morine, et al.
Published: (2024)
A kernel-based framework for covariate significance tests in nonparametric regression
by: Diz-Castro, Daniel, et al.
Published: (2025)
by: Diz-Castro, Daniel, et al.
Published: (2025)
Nonparametric Envelopes for Flexible Response Reduction
by: Jacobson, Tate
Published: (2025)
by: Jacobson, Tate
Published: (2025)
Mean and Covariance Estimation for Discretely Observed High-Dimensional Functional Data: Rates of Convergence and Division of Observational Regimes
by: Petersen, Alexander
Published: (2024)
by: Petersen, Alexander
Published: (2024)
Handling Missing Data in Probabilistic Regression Trees: Methods and Implementation in R
by: Prass, Taiane Schaedler, et al.
Published: (2025)
by: Prass, Taiane Schaedler, et al.
Published: (2025)
Lancaster correlation -- a new dependence measure linked to maximum correlation
by: Holzmann, Hajo, et al.
Published: (2023)
by: Holzmann, Hajo, et al.
Published: (2023)
Automatic Debiased Machine Learning via Riesz Regression
by: Chernozhukov, Victor, et al.
Published: (2021)
by: Chernozhukov, Victor, et al.
Published: (2021)
Local Fréchet regression with toroidal predictors
by: Im, Chang Jun, et al.
Published: (2026)
by: Im, Chang Jun, et al.
Published: (2026)
Dirichlet kernel density estimation on the simplex with missing data
by: Daayeb, Hanen, et al.
Published: (2026)
by: Daayeb, Hanen, et al.
Published: (2026)
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)
Regularised Canonical Correlation Analysis: graphical lasso, biplots and beyond
by: Wells, Lennie, et al.
Published: (2024)
by: Wells, Lennie, et al.
Published: (2024)
Dissecting Microbial Community Structure and Heterogeneity via Multivariate Covariate-Adjusted Clustering
by: Liu, Zhongmao, et al.
Published: (2025)
by: Liu, Zhongmao, et al.
Published: (2025)
Semiparametric Copula Estimation for Spatially Correlated Multivariate Mixed Outcomes: Analyzing Visual Sightings of Fin Whales from a Line Transect Survey
by: Momozaki, Tomotaka, et al.
Published: (2023)
by: Momozaki, Tomotaka, et al.
Published: (2023)
Air-HOLP: Adaptive Regularized Feature Screening for High Dimensional Correlated Data
by: Joudah, Ibrahim, et al.
Published: (2024)
by: Joudah, Ibrahim, et al.
Published: (2024)
Simultaneous Detection and Localization of Mean and Covariance Changes in High Dimensions
by: Cui, Junfeng, et al.
Published: (2025)
by: Cui, Junfeng, et al.
Published: (2025)
Adaptive exact recovery in sparse nonparametric models
by: Stepanova, Natalia, et al.
Published: (2024)
by: Stepanova, Natalia, et al.
Published: (2024)
Adaptive almost full recovery in sparse nonparametric models
by: Stepanova, Natalia, et al.
Published: (2025)
by: Stepanova, Natalia, et al.
Published: (2025)
Exact variable selection in sparse nonparametric models
by: Stepanova, Natalia, et al.
Published: (2023)
by: Stepanova, Natalia, et al.
Published: (2023)
Nonparametric Inference on Dose-Response Curves Without the Positivity Condition
by: Zhang, Yikun, et al.
Published: (2024)
by: Zhang, Yikun, et al.
Published: (2024)
Spatiotemporally Consistent Multivariate Bias Correction for Climate Projections via Nested Vine Copulas
by: Meier, Theresa, et al.
Published: (2026)
by: Meier, Theresa, et al.
Published: (2026)
Quadratic inference with dense functional responses
by: Niyogi, Pratim Guha, et al.
Published: (2024)
by: Niyogi, Pratim Guha, et al.
Published: (2024)
A spatial-correlated multitask linear mixed-effects model for imaging genetics
by: Pu, Zhibin, et al.
Published: (2024)
by: Pu, Zhibin, et al.
Published: (2024)
Explaining the unexplainable: leveraging extremal dependence to characterize the 2021 Pacific Northwest heatwave
by: Zhang, Likun, et al.
Published: (2023)
by: Zhang, Likun, et al.
Published: (2023)
Deep Neural Networks for Doubly Robust Estimation with Nonprobability Survey Samples
by: Dai, Yufang, et al.
Published: (2026)
by: Dai, Yufang, et al.
Published: (2026)
Non-conjugate variational Bayes for pseudo-likelihood mixed effect models
by: Castiglione, Cristian, et al.
Published: (2022)
by: Castiglione, Cristian, et al.
Published: (2022)
Similar Items
-
Multivariate Functional Principal Component Analysis for Mixed-Type mHealth Data: An Application to Mood Disorders
by: Dey, Debangan, et al.
Published: (2026) -
Semiparametric copula-based quantile regression for semicontinuous outcomes with application to healthcare data
by: Lyu, Guanjie, et al.
Published: (2026) -
Quick and Simple Kernel Differential Equation Regression Estimators for Data with Sparse Design
by: Ge, Chunlei, et al.
Published: (2024) -
Nonparametric geostatistical risk mapping
by: Fernández-casal, Rubén, et al.
Published: (2024) -
Nonparametric conditional risk mapping under heteroscedasticity
by: Fernández-Casal, Rubén, et al.
Published: (2024)