Results 71 to 80 of about 74,731 (304)

Towards counterfactual fairness through auxiliary variables

CoRR
The challenge of balancing fairness and predictive accuracy in machine learning models, especially when sensitive attributes such as race, gender, or age are considered, has motivated substantial research in recent years. Counterfactual fairness ensures that predictions remain consistent across counterfactual variations of sensitive attributes, which ...
Bowei Tian, Ziyao Wang, Shwai He, Wanghao Ye, Guoheng Sun, Yucong Dai, Yongkai Wu, Ang Li 0005   +7 more
openaire   +3 more sources

Monitoring process variability using auxiliary information [PDF]

Computational Statistics, 2007
A construction of Shewhart-type control charts is considered for the changes of variance of a controlled variable \(Y\) in the case when some auxiliary variable \(X\) is also observed. Bivariate normality of \((X,Y)\) is assumed. The chart is based on a regression-type estimate for the variance of \(Y\) by observations on \(X\). The central line, lower
openaire   +2 more sources

Improving inference of Gaussian mixtures using auxiliary variables [PDF]

Statistical Analysis and Data Mining: The ASA Data Science Journal, 2015
AbstractExpanding a lower‐dimensional problem to a higher‐dimensional space and then projecting back is often beneficial. This article rigorously investigates this perspective in the context of finite mixture models, specifically how to improve inference for mixture models by using auxiliary variables. Despite the large literature in mixture models and
Andrea Mercatanti, Fan Li, Fabrizia Mealli   +2 more
openaire   +6 more sources

Tau acetylation at K331 has limited impact on tau pathology in vivo

FEBS Letters, EarlyView.
We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto, Yukio Matsuba, Mika Takahashi, Takaomi C. Saido   +3 more
wiley   +1 more source

Imputation of a true endpoint from a surrogate: application to a cluster randomized controlled trial with partial information on the true endpoint

BMC Medical Research Methodology, 2003
Background The Anglia Menorrhagia Education Study (AMES) is a randomized controlled trial testing the effectiveness of an education package applied to general practices.
Duffy Stephen W, Nixon Richard M, Fender Guy RK   +2 more
doaj   +1 more source

Calpain small subunit homodimerization is robust and calcium‐independent

FEBS Letters, EarlyView.
Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy, Trina Dykstra‐MacPherson, Mathias A. Bell, Peter L. Davies, Ruby May A. Sullan   +4 more
wiley   +1 more source

Use of Double Sampling Scheme in Estimating the Mean of Stratified Population under Non-response

Statistica, 2015
The present paper focuses on the use of double sampling scheme in stratified random sampling for estimating the population mean in the presence of non-response. Motivated by Khoshnevisan et al (2007), we have proposed a family of combined-type estimators
Manoj Kumar Chaudhary, Amit Kumar
doaj   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Improved estimator for the estimation of sensitive variable using ORRT models

Research in Statistics
In this study, we concern with the improved estimation of sensitive variable when there is non-response and measurement error on sensitive variable but the auxiliary variable is non sensitive in nature.
Sunil Kumar, Chanda Rani
doaj   +1 more source

Neutrosophic Ranked Set Sampling Scheme for Estimating Population Mean: An Application to Demographic Data [PDF]

Neutrosophic Sets and Systems
The primary goal of this study is to address the limitations of classical statistics in handling ambiguous or indeterminate data. The best alternative to classical and fuzzy statistics for handling such data uncertainty is neutrosophic statistics, which ...
Rajesh Singh , Anamika Kumari
doaj   +1 more source