Results 71 to 80 of about 125 (80)

Variable selection in double/debiased machine learning for causal inference: an outcome-adaptive approach

Communications in Statistics Part B: Simulation and Computation
Daijiro Kabata, Mototsugu Shintani
exaly  

A nonparametric doubly robust test for a continuous treatment effect

Annals of Statistics
Charles R Doss, Ira Moscovice, Tongtan Chantarat   +2 more
exaly  

Environment invariant linear least squares

Annals of Statistics
Jianqing Fan, Cong Fang
exaly  

Characterization of causal ancestral graphs for time series with latent confounders

Annals of Statistics
Andreas Gerhardus
exaly  

A common-cause principle for eliminating selection bias in causal estimands through covariate adjustment

Annals of Statistics
Maya B Mathur, Tyler J Vanderweele, Ilya Shpitser   +2 more
exaly  

Time-uniform central limit theory and asymptotic confidence sequences

Annals of Statistics
Ian Waudby-Smith, Edward H Kennedy, Aaditya Ramdas   +2 more
exaly  

Debiased inverse propensity score weighting for estimation of average treatment effects with high-dimensional confounders

Annals of Statistics
Rajen D Shāh
exaly  

Wilcoxon-Mann-Whitney statistics in randomized trials with non-compliance

Electronic Journal of Statistics
Lu Mao
exaly  

Wald tests when restrictions are locally singular

Annals of Statistics
Jean-Marie Dufour, Eric Renault, Victoria Zinde-Walsh   +2 more
exaly  

Causality pursuit from heterogeneous environments via neural adversarial invariance learning

Annals of Statistics
Cong Fang, Peter Bühlmann, Jianqing Fan   +2 more
exaly