Results 1 to 10 of about 68 (66)

On Almost Sure Expansions for M-Estimates

Annals of Statistics, 1978
exaly  

Robust Analogs to the Coefficient of Variation [PDF]

Journal of Applied Statistics, 2022
Luke Prendergast, Robert G. Staudte
exaly   +2 more sources

Causal effect on a target population: A sensitivity analysis to handle missing covariates

Journal of Causal Inference, 2022
Randomized controlled trials (RCTs) are often considered the gold standard for estimating causal effect, but they may lack external validity when the population eligible to the RCT is substantially different from the target population.
Colnet Bénédicte, Josse Julie, Varoquaux Gaël, Scornet Erwan   +3 more
doaj   +1 more source

A fundamental measure of treatment effect heterogeneity

Journal of Causal Inference, 2021
The stratum-specific treatment effect function is a random variable giving the average treatment effect (ATE) for a randomly drawn stratum of potential confounders a clinician may use to assign treatment.
Levy Jonathan, van der Laan Mark, Hubbard Alan, Pirracchio Romain   +3 more
doaj   +1 more source

A generalized double robust Bayesian model averaging approach to causal effect estimation with application to the study of osteoporotic fractures

Journal of Causal Inference, 2022
Analysts often use data-driven approaches to supplement their knowledge when selecting covariates for effect estimation. Multiple variable selection procedures for causal effect estimation have been devised in recent years, but additional developments ...
Talbot Denis, Beaudoin Claudia
doaj   +1 more source

Identifying HIV sequences that escape antibody neutralization using random forests and collaborative targeted learning

Journal of Causal Inference, 2022
Recent studies have indicated that it is possible to protect individuals from HIV infection using passive infusion of monoclonal antibodies. However, in order for monoclonal antibodies to confer robust protection, the antibodies must be capable of ...
Jin Yutong, Benkeser David
doaj   +1 more source

Robust estimation for varying coefficient partially functional linear regression models based on exponential squared loss function

Open Mathematics, 2022
In this article, we present a new robust estimation procedure based on the exponential squared loss function for varying coefficient partially functional linear regression models, where the slope function and nonparametric coefficients are approximated ...
Sun Jun, Liu Wanrong
doaj   +1 more source

Two symmetric and computationally efficient Gini correlations

Dependence Modeling, 2020
Standard Gini correlation plays an important role in measuring the dependence between random variables with heavy-tailed distributions. It is based on the covariance between one variable and the rank of the other. Hence for each pair of random variables,
Vanderford Courtney, Sang Yongli, Dang Xin   +2 more
doaj   +1 more source

Asymptotic behavior of robust estimators in partially linear models with missing responses: the effect of estimating the missing probability on the simplified marginal estimators [PDF]

, 2010
Fisher-consistency, Kernel weights, M-location functionals, Missing at random, Nonparametric regression, Robust estimation, 62G35, 62F12,
Ana Bianco, Bianco, Ana Maria, González Manteiga, Wenceslao, Graciela Boente, Perez Gonzalez, Ana, Wenceslao González-Manteiga, Boente Boente, Graciela Lina, Ana Pérez-González   +7 more
core   +1 more source

A review on consistency and robustness properties of support vector machines for heavy-tailed distributions [PDF]

, 2009
Regularized empirical risk minimization, Support vector machines, Consistency, Robustness, Bouligand influence function, Heavy tails, 68Q32, 62G35, 62G08, 62F35, 68T10,
Arnout Van Messem, Van Messem, Arnout, Andreas Christmann, Christmann, Andreas   +3 more
core   +1 more source