Results 51 to 60 of about 166,649 (278)

Covariant Lyapunov vectors [PDF]

open access: yesJournal of Physics A: Mathematical and Theoretical, 2013
The recent years have witnessed a growing interest for covariant Lyapunov vectors (CLVs) which span local intrinsic directions in the phase space of chaotic systems. Here we review the basic results of ergodic theory, with a specific reference to the implications of Oseledets' theorem for the properties of the CLVs.
Ginelli, Francesco   +3 more
openaire   +10 more sources

Fairness Violations and Mitigation under Covariate Shift

open access: yesConference on Fairness, Accountability and Transparency, 2019
We study the problem of learning fair prediction models for unseen test sets distributed differently from the train set. Stability against changes in data distribution is an important mandate for responsible deployment of models.
Harvineet Singh   +3 more
semanticscholar   +1 more source

To Adjust or Not to Adjust? Sensitivity Analysis of M-Bias and Butterfly-Bias

open access: yesJournal of Causal Inference, 2015
“M-Bias,” as it is called in the epidemiologic literature, is the bias introduced by conditioning on a pretreatment covariate due to a particular “M-Structure” between two latent factors, an observed treatment, an outcome, and a “collider.” This ...
Ding Peng, Miratrix Luke W.
doaj   +1 more source

Demystifying Smoker's Paradox: A Propensity Score–Weighted Analysis in Patients Hospitalized With Acute Heart Failure

open access: yesJournal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2019
Background Smoker's paradox has been observed with several vascular disorders, yet there are limited data in patients with acute heart failure (HF). We examined the effects of smoking in patients with acute HF using data from a large multicenter registry.
Suhail A. Doi   +19 more
doaj   +1 more source

Genotype–covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm model

open access: yesNature Communications, 2019
The genomics era has brought useful tools to dissect the genetic architecture of complex traits. Here we propose a multivariate reaction norm model (MRNM) to tackle genotype–covariate (G–C) correlation and interaction problems.
G. Ni   +5 more
semanticscholar   +1 more source

A Covariance Equation

open access: yesThe Journal of Geometric Analysis, 2019
Let $ $ be a commutative semigroup with identity $e$ and let $ $ be a compact subset in the pointwise convergence topology of the space $ '$ of all non-zero multiplicative functions on $ .$ Given a continuous function $F: \to \mathbb C$ and a complex regular Borel measure $ $ on $ $ such that $ ( ) \not = 0.$ It is shown that $$ ( ) \int_
openaire   +4 more sources

Covariance chains

open access: yesBernoulli, 2006
n ...
N. Wermuth   +2 more
openaire   +4 more sources

Assessing covariate balance when using the generalized propensity score with quantitative or continuous exposures

open access: yesStatistical Methods in Medical Research, 2018
Propensity score methods are increasingly being used to estimate the effects of treatments and exposures when using observational data. The propensity score was initially developed for use with binary exposures (e.g., active treatment vs. control).
P. Austin
semanticscholar   +1 more source

Understanding covariate shift in model performance [version 3; referees: 2 approved]

open access: yesF1000Research, 2016
Three (3) different methods (logistic regression, covariate shift and k-NN) were applied to five (5) internal datasets and one (1) external, publically available dataset where covariate shift existed.
Georgia McGaughey   +2 more
doaj   +1 more source

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