Results 1 to 10 of about 22 (22)

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

Uniform convergence of adversarially robust classifiers

European Journal of Applied Mathematics
In recent years, there has been significant interest in the effect of different types of adversarial perturbations in data classification problems. Many of these models incorporate the adversarial power, which is an important parameter with an associated
Rachel Morris, Ryan Murray
doaj   +1 more source

On the existence of solutions to adversarial training in multiclass classification

European Journal of Applied Mathematics
Adversarial training is a min-max optimization problem that is designed to construct robust classifiers against adversarial perturbations of data. We study three models of adversarial training in the multiclass agnostic-classifier setting.
Nicolás García Trillos, Matt Jacobs, Jakwang Kim   +2 more
doaj   +1 more source

Estimation for spatial semi-functional partial linear regression model with missing response at random

Demonstratio Mathematica
The aim of this article is to study a semi-functional partial linear regression model (SFPLR) for spatial data with responses missing at random (MAR).
Benchikh Tawfik, Almanjahie Ibrahim M., Fetitah Omar, Attouch Mohammed Kadi   +3 more
doaj   +1 more source

Level sets of depth measures in abstract spaces. [PDF]

Test (Madr), 2023
Cholaquidis A, Fraiman R, Moreno L.
europepmc   +1 more source