Cover Image

Adaptive Influence Diagnostics in High-Dimensional Regression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Soale, Abdul-Nasah, Lukman, Adewale
Format:	Preprint
Published:	2025
Subjects:	Methodology Applications Computation
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Detecting influential observations in single-index Fréchet regression
by: Soale, Abdul-Nasah
Published: (2023)

On metric choice in dimension reduction for Fréchet regression
by: Soale, Abdul-Nasah, et al.
Published: (2024)

Clustered Covariate Regression
by: Soale, Abdul-Nasah, et al.
Published: (2023)

Sufficient dimension reduction for regression with metric space-valued responses
by: Soale, Abdul-Nasah, et al.
Published: (2023)

Bayesian Transfer Learning for High-Dimensional Linear Regression via Adaptive Shrinkage
by: Jamshidian, Parsa, et al.
Published: (2025)

Scalable Ultra-High-Dimensional Quantile Regression with Genomic Applications
by: Wu, Hanqing, et al.
Published: (2026)

Diagnostics for Regression Models with Semicontinuous Outcomes
by: Yang, Lu
Published: (2024)

Gimbal Regression: Orientation-Adaptive Local Linear Regression under Spatial Heterogeneity
by: Otani, Yuichiro
Published: (2026)

Variational Bayesian Multiple Imputation in High-Dimensional Regression Models With Missing Responses
by: Li, Qiushuang, et al.
Published: (2025)

Multiple Imputation Method for High-Dimensional Neuroimaging Data
by: Lu, Tong, et al.
Published: (2023)

Granger Causality in High-Dimensional Networks of Time Series
by: Aslan, Sipan, et al.
Published: (2024)

Graph-Enabled Fast MCMC Sampling with an Unknown High-Dimensional Prior Distribution
by: Zhong, Chenyang, et al.
Published: (2024)

Dynamic Factor Analysis with Dependent Gaussian Processes for High-Dimensional Gene Expression Trajectories
by: Cai, Jiachen, et al.
Published: (2023)

Adaptive Penalized Doubly Robust Regression for Longitudinal Data
by: Wang, Yuyao, et al.
Published: (2026)

Dependency-Aware Shrinkage Priors for High Dimensional Regression
by: Aguilar, Javier Enrique, et al.
Published: (2025)

Multiscale Multi-Type Spatial Bayesian Analysis for High-Dimensional Data with Application to Wildfires and Migration
by: Zhou, Shijie, et al.
Published: (2024)

Identifying Genetic Variants for Obesity: A Knowledge Integration Quantile Regression (KIQR) Approach for Ultra-High-Dimensional Data
by: Wang, Jiantong, et al.
Published: (2024)

MM Algorithms for Statistical Estimation in Quantile Regression
by: Cheng, Yifan, et al.
Published: (2024)

Decomposing Network Influence: Social Influence Regression
by: Minhas, Shahryar, et al.
Published: (2017)

Bayesian Latent Class Regression and Variable Selection with Applications to Sleep Patterns Data
by: Heaney, Matthew, et al.
Published: (2025)

Comparing Lasso and Adaptive Lasso in High-Dimensional Data: A Genetic Survival Analysis in Triple-Negative Breast Cancer
by: González-Barquero, Pilar, et al.
Published: (2024)

Variable Selection with Broken Adaptive Ridge Regression for Interval-Censored Competing Risks Data
by: Mahmoudi, Fatemeh, et al.
Published: (2025)

Adaptive tuning of Hamiltonian Monte Carlo methods
by: Akhmatskaya, Elena, et al.
Published: (2025)

Adaptive truncation of infinite sums: applications to Statistics
by: Carvalho, Luiz Max, et al.
Published: (2022)

A Practical Introduction to Regression Discontinuity Designs: Extensions
by: Cattaneo, Matias D., et al.
Published: (2023)

Smoothing Variances Across Time: Adaptive Stochastic Volatility
by: Cho, Jason B., et al.
Published: (2024)

How Untested Modeling Assumptions Influence the U.S. EPA's Estimates of Population-Level Ozone Exposure Risk
by: Glasgow, Garrett, et al.
Published: (2025)

cardinalR: Generating Interesting High-Dimensional Data Structures
by: Gamage, Jayani P., et al.
Published: (2025)

Combined Quantile Forecasting for High-Dimensional Non-Gaussian Data
by: Park, Seeun, et al.
Published: (2024)

High-Dimensional Multivariate VAR Estimation with Spatio-Temporal Structure
by: Bai, Peiliang
Published: (2026)

A Bayesian Adaptive Latent Mixture Model for Zero-Inflated Weighted Brain Connectome Analysis
by: Huang, Hsin-Hsiung, et al.
Published: (2026)

Spatio-Temporal Autoregressions for High Dimensional Matrix-Valued Time Series
by: Dou, Baojun, et al.
Published: (2025)

Bayesian Multivariate Density-Density Regression
by: Nguyen, Khai, et al.
Published: (2025)

Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm
by: Luo, Nanyu, et al.
Published: (2025)

Additive Density Regression
by: Maier, Eva-Maria, et al.
Published: (2025)

Bayesian Graphical High-Dimensional Time Series Models for Detecting Structural Changes
by: Ghosh, Shuvrarghya, et al.
Published: (2025)

Functional Moments Regression
by: Li, Mingyuan, et al.
Published: (2026)

Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis
by: Goplerud, Max, et al.
Published: (2022)

Inference for Heterogeneous Graphical Models using Doubly High-Dimensional Linear-Mixed Models
by: Yue, Kun, et al.
Published: (2024)

Notes on Causation, Comparison, and Regression
by: Chattopadhyay, Ambarish, et al.
Published: (2023)