UB Paderborn / Katalog / Suche / in CDI

Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

Journal of the American Statistical Association, 2018-07, Vol.113 (523), p.1228-1242

2018

Link zum Volltext

Verfügbarkeit prüfen

Changepoint Detection in the Presence of Outliers

Journal of the American Statistical Association, 2019-01, Vol.114 (525), p.169-183

2019

Link zum Volltext

Verfügbarkeit prüfen

The Blessings of Multiple Causes

Journal of the American Statistical Association, 2019-10, Vol.114 (528), p.1574-1596

2019

Link zum Volltext

Verfügbarkeit prüfen

Sparse Sliced Inverse Regression via Lasso

Journal of the American Statistical Association, 2019-10, Vol.114 (528), p.1726-1739

2019

Link zum Volltext

Verfügbarkeit prüfen

Robust Bayesian Inference via Coarsening

Journal of the American Statistical Association, 2019-07, Vol.114 (527), p.1113-1125

2019

Link zum Volltext

Verfügbarkeit prüfen

A Tuning-free Robust and Efficient Approach to High-dimensional Regression

Journal of the American Statistical Association, 2020-12, Vol.115 (532), p.1700-1714

2020

Link zum Volltext

Verfügbarkeit prüfen

Random Forests for Spatially Dependent Data

Journal of the American Statistical Association, 2023-01, Vol.118 (541), p.665-683

2023

Link zum Volltext

Verfügbarkeit prüfen

Optimal Estimation of the Number of Network Communities

Journal of the American Statistical Association, 2023-07, Vol.118 (543), p.2101-2116

2023

Link zum Volltext

Verfügbarkeit prüfen

Communication-Efficient Accurate Statistical Estimation

Journal of the American Statistical Association, 2023-04, Vol.118 (542), p.1000-1010

2023

Link zum Volltext

Verfügbarkeit prüfen

Metalearning of time series: an approximate dynamic programming approach

Quantitative finance, 2023-04, Vol.23 (4), p.539-551

2023

Link zum Volltext

Verfügbarkeit prüfen

Fairness-Oriented Learning for Optimal Individualized Treatment Rules

Journal of the American Statistical Association, 2023-07, Vol.118 (543), p.1733-1746

2023

Link zum Volltext

Verfügbarkeit prüfen

A General Framework for Inference on Algorithm-Agnostic Variable Importance

Journal of the American Statistical Association, 2023-07, Vol.118 (543), p.1645-1658

2023

Link zum Volltext

Verfügbarkeit prüfen

Dynamic Tensor Clustering

Journal of the American Statistical Association, 2019-10, Vol.114 (528), p.1894-1907

2019

Link zum Volltext

Verfügbarkeit prüfen

Sensitivity Analysis for Multiple Comparisons in Matched Observational Studies Through Quadratically Constrained Linear Programming

Journal of the American Statistical Association, 2016-12, Vol.111 (516), p.1820-1830

2016

Link zum Volltext

Verfügbarkeit prüfen

Transfer Learning in Large-Scale Gaussian Graphical Models with False Discovery Rate Control

Journal of the American Statistical Association, 2023-07, Vol.118 (543), p.2171-2183

2023

Link zum Volltext

Verfügbarkeit prüfen

MCMC for Imbalanced Categorical Data

Journal of the American Statistical Association, 2019-07, Vol.114 (527), p.1394-1403

2019

Link zum Volltext

Verfügbarkeit prüfen

Large-scale financial planning via a partially observable stochastic dual dynamic programming framework

Quantitative finance, 2023-09, Vol.23 (9), p.1341-1360

2023

Link zum Volltext

Verfügbarkeit prüfen

Optimal Penalized Function-on-Function Regression Under a Reproducing Kernel Hilbert Space Framework

Journal of the American Statistical Association, 2018-01, Vol.113 (524), p.1601-1611

2018

Link zum Volltext

Verfügbarkeit prüfen

Covariate-Adjusted Tensor Classification in High Dimensions

Journal of the American Statistical Association, 2019-07, Vol.114 (527), p.1305-1319

2019

Link zum Volltext

Verfügbarkeit prüfen

Bayesian Bootstrap Spike-and-Slab LASSO

Journal of the American Statistical Association, 2023-07, Vol.118 (543), p.2013-2028

2023

Link zum Volltext

Verfügbarkeit prüfen

Classification Trees for Imbalanced Data: Surface-to-Volume Regularization

Journal of the American Statistical Association, 2023-07, Vol.118 (543), p.1707-1717

2023

Link zum Volltext

Verfügbarkeit prüfen

Online Covariance Matrix Estimation in Stochastic Gradient Descent

Journal of the American Statistical Association, 2023-01, Vol.118 (541), p.393-404

2023

Link zum Volltext

Verfügbarkeit prüfen

Adaptive Conditional Distribution Estimation with Bayesian Decision Tree Ensembles

Journal of the American Statistical Association, 2023-07, Vol.118 (543), p.2129-2142

2023

Link zum Volltext

Verfügbarkeit prüfen

Kernel-Based Partial Permutation Test for Detecting Heterogeneous Functional Relationship

Journal of the American Statistical Association, 2023-04, Vol.118 (542), p.1429-1447

2023

Link zum Volltext

Verfügbarkeit prüfen

Stochastic Tree Ensembles for Regularized Nonlinear Regression

Journal of the American Statistical Association, 2023-01, Vol.118 (541), p.551-570

2023

Link zum Volltext

Verfügbarkeit prüfen

Menü

Weitere Dienste

Einstellungen

Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

Changepoint Detection in the Presence of Outliers

The Blessings of Multiple Causes

Sparse Sliced Inverse Regression via Lasso

Robust Bayesian Inference via Coarsening

A Tuning-free Robust and Efficient Approach to High-dimensional Regression

Random Forests for Spatially Dependent Data

Optimal Estimation of the Number of Network Communities

Communication-Efficient Accurate Statistical Estimation

Metalearning of time series: an approximate dynamic programming approach

Fairness-Oriented Learning for Optimal Individualized Treatment Rules

A General Framework for Inference on Algorithm-Agnostic Variable Importance

Dynamic Tensor Clustering

Sensitivity Analysis for Multiple Comparisons in Matched Observational Studies Through Quadratically Constrained Linear Programming

Transfer Learning in Large-Scale Gaussian Graphical Models with False Discovery Rate Control

MCMC for Imbalanced Categorical Data

Large-scale financial planning via a partially observable stochastic dual dynamic programming framework

Optimal Penalized Function-on-Function Regression Under a Reproducing Kernel Hilbert Space Framework

Covariate-Adjusted Tensor Classification in High Dimensions

Bayesian Bootstrap Spike-and-Slab LASSO

Classification Trees for Imbalanced Data: Surface-to-Volume Regularization

Online Covariance Matrix Estimation in Stochastic Gradient Descent

Adaptive Conditional Distribution Estimation with Bayesian Decision Tree Ensembles

Kernel-Based Partial Permutation Test for Detecting Heterogeneous Functional Relationship

Stochastic Tree Ensembles for Regularized Nonlinear Regression

Aktive Filter

Suchergebnisse filtern