Cover Image

spar: Sparse Projected Averaged Regression in R

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Parzer, Roman, Vana-Gür, Laura, Filzmoser, Peter
Format:	Preprint
Published:	2024
Subjects:	Computation Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sparse Data-Driven Random Projection in Regression for High-Dimensional Data
by: Parzer, Roman, et al.
Published: (2023)

Data-Driven Random Projection and Screening for High-Dimensional Generalized Linear Models
by: Parzer, Roman, et al.
Published: (2024)

Cellwise robust and sparse principal component analysis
by: Pfeiffer, Pia, et al.
Published: (2024)

Multivariate ordinal regression for multiple repeated measurements
by: Vana-Gür, Laura
Published: (2024)

A joint model of correlated ordinal and continuous variables
by: Vana-Gür, Laura, et al.
Published: (2024)

Improving Forecasts for Heterogeneous Time Series by "Averaging", with Application to Food Demand Forecast
by: Neubauer, Lukas, et al.
Published: (2023)

Robust covariance estimation and explainable outlier detection for matrix-valued data
by: Mayrhofer, Marcus, et al.
Published: (2024)

Explainable Outlier Detection for Multivariate Functional Data
by: Mayrhofer, Marcus, et al.
Published: (2026)

Enhancing Forecasts Using Real-Time Data Flow and Hierarchical Forecast Reconciliation, with Applications to the Energy Sector
by: Neubauer, Lukas, et al.
Published: (2024)

Rediscovering Bottom-Up: Effective Forecasting in Temporal Hierarchies
by: Neubauer, Lukas, et al.
Published: (2024)

Spatially smoothed robust covariance estimation for local outlier detection
by: Puchhammer, Patricia, et al.
Published: (2023)

Sparse outlier-robust PCA for multi-source data
by: Puchhammer, Patricia, et al.
Published: (2024)

Multivariate outlier explanations using Shapley values and Mahalanobis distances
by: Mayrhofer, Marcus, et al.
Published: (2022)

Variational Inference for Sparse Poisson Regression
by: Kharabati, Mitra, et al.
Published: (2023)

Minimum regularized covariance trace estimator and outlier detection for functional data
by: Oguamalam, Jeremy, et al.
Published: (2023)

Outlier-Robust Multi-Group Gaussian Mixture Modeling with Flexible Group Reassignment
by: Puchhammer, Patricia, et al.
Published: (2025)

Spatial Blind Source Separation in the Presence of a Drift
by: Muehlmann, Christoph, et al.
Published: (2021)

Robust Bayesian Model Averaging for Linear Regression Models With Heavy-Tailed Errors
by: De, Shamriddha, et al.
Published: (2024)

Spectral Collapsed Gibbs Sampler for Bayesian Sparse Regression
by: Chin, Andrew, et al.
Published: (2026)

Graph-based Square-Root Estimation for Sparse Linear Regression
by: Li, Peili, et al.
Published: (2024)

Differential Equation-Constrained Local Regression for Data with Sparse Design
by: Ge, Chunlei, et al.
Published: (2025)

Posterior Mode Guided Dimension Reduction for Bayesian Model Averaging in Heavy-Tailed Linear Regression
by: De, Shamriddha, et al.
Published: (2026)

Design-Based Weighted Regression Estimators for Average and Conditional Spillover Effects
by: Fang, Fei, et al.
Published: (2025)

Mean-field Variational Bayes for Sparse Probit Regression
by: Fasano, Augusto, et al.
Published: (2026)

Bayesian High-dimensional Linear Regression with Sparse Projection-posterior
by: Pal, Samhita, et al.
Published: (2024)

Proximal Projection for Doubly Sparse Regularized Models
by: He, Jia Wei, et al.
Published: (2026)

FARS: Factor Augmented Regression Scenarios in R
by: Bellocca, Gian Pietro, et al.
Published: (2025)

Robust functional PCA for relative data
by: Oguamalam, Jeremy, et al.
Published: (2024)

fkbma: An R Package for Detecting Tailoring Variables with Free-Knot B-Splines and Bayesian Model Averaging
by: Maleyeff, Lara, et al.
Published: (2025)

EstemPMM: Polynomial Maximization Method for Non-Gaussian Regression and Time Series in R
by: Zabolotnii, Serhii
Published: (2026)

Structured Bayesian Regression Tree Models for Estimating Distributed Lag Effects: The R Package dlmtree
by: Im, Seongwon, et al.
Published: (2025)

Comment on "Average Hazard as Harmonic Mean" by Chiba
by: Uno, Hajime, et al.
Published: (2025)

Cross Sectional Regression with Cluster Dependence: Inference based on Averaging
by: Dey, Subhodeep, et al.
Published: (2024)

Comparing Variable Selection and Model Averaging Methods for Logistic Regression
by: Sekulovski, Nikola, et al.
Published: (2025)

A Flexible Empirical Bayes Approach to Generalized Linear Models, with Applications to Sparse Logistic Regression
by: Xie, Dongyue, et al.
Published: (2026)

ProfileGLMM: a R Package Extending Bayesian Profile Regression using Generalised Linear Mixed Models
by: Amestoy, Matteo, et al.
Published: (2026)

MECfda: An R Package for Bias Correction Due to Measurement Error in Functional and Scalar Covariates in Scalar-on-Function Regression Models
by: Ji, Heyang, et al.
Published: (2025)

Nonlinear Regression Analysis
by: Huang, Hsin-Hsiung, et al.
Published: (2024)

Spline Quantile Regression
by: Li, Ta-Hsin, et al.
Published: (2025)

Vector AutoRegressive Moving Average Models: A Review
by: Düker, Marie-Christine, et al.
Published: (2024)