Results 1 to 10 of about 166,649 (278)
Energy balancing of covariate distributions [PDF]
Journal of Causal Inference, 2020 Bias in causal comparisons has a correspondence with distributional imbalance of covariates between treatment groups. Weighting strategies such as inverse propensity score weighting attempt to mitigate bias by either modeling the treatment assignment ...
Huling Jared D., Mak Simon
doaj +2 more sources
An Efficient Gait Recognition Method for Known and Unknown Covariate Conditions
IEEE Access, 2021 Gait is a unique non-invasive biometric form that can be utilized to effectively recognize persons, even when they prove to be uncooperative. Computer-aided gait recognition systems usually use image sequences without considering covariates like clothing
Maryam Bukhari +7 more
doaj +2 more sources
Optimally tackling covariate shift in RKHS-based nonparametric regression [PDF]
Annals of Statistics, 2022 We study the covariate shift problem in the context of nonparametric regression over a reproducing kernel Hilbert space (RKHS). We focus on two natural families of covariate shift problems defined using the likelihood ratios between the source and target
Cong Ma, Reese Pathak, M. Wainwright
semanticscholar +1 more source
Multigroup analysis of compositions of microbiomes with covariate adjustments and repeated measures
Nature Methods, 2023 ANCOM-BC2 is developed to perform multigroup differential abundance analysis and allows modeling of covariates and longitudinal measures while controlling false discovery rate (FDR) or mixed directional FDR.
Huan-xiang Lin, Shyamal D Peddada
semanticscholar +1 more source
Frontiers in Pharmacology, 2022 Background and Aim: Many studies associated with the combination of machine learning (ML) and pharmacometrics have appeared in recent years. ML can be used as an initial step for fast screening of covariates in population pharmacokinetic (popPK) models ...
Xiuqing Zhu +7 more
doaj +1 more source
Causal mediation effect analysis based on different variable stratification
Sichuan jingshen weisheng, 2022 The purpose of this paper was to introduce the setting method of the three types of variable levels in the causal mediation effect analysis and the implementing calculation method under the condition of stratification by using SAS.
Hu Chunyan, Hu Liangping
doaj +1 more source
Distributionally Robust Losses for Latent Covariate Mixtures [PDF]
Operational Research, 2020 Reliable Machine Learning via Structured Distributionally Robust Optimization Data sets used to train machine learning (ML) models often suffer from sampling biases and underrepresent marginalized groups.
John C. Duchi +2 more
semanticscholar +1 more source
Exploring the Potential of vis-NIR Spectroscopy as a Covariate in Soil Organic Matter Mapping
Remote Sensing, 2023 Robust soil organic matter (SOM) mapping is required by farms, but their generation requires a large number of samples to be chemically analyzed, which is cost prohibitive. Recently, research has shown that visible and near-infrared (vis-NIR) reflectance
Meihua Yang +4 more
doaj +1 more source
Robust Fairness under Covariate Shift [PDF]
AAAI Conference on Artificial Intelligence, 2020 Making predictions that are fair with regard to protected attributes (race, gender, age, etc.) has become an important requirement for classification algorithms.
Ashkan Rezaei +3 more
semanticscholar +1 more source
The Problem of Fairness in Synthetic Healthcare Data
Entropy, 2021 Access to healthcare data such as electronic health records (EHR) is often restricted by laws established to protect patient privacy. These restrictions hinder the reproducibility of existing results based on private healthcare data and also limit new ...
Karan Bhanot +4 more
doaj +1 more source