Results 41 to 50 of about 252 (167)
An optimal transport approach to estimating causal effects via nonlinear difference-in-differences
We propose a nonlinear difference-in-differences (DiD) method to estimate multivariate counterfactual distributions in classical treatment and control study designs with observational data.
Torous William +2 more
doaj +1 more source
Reference Bayesian methods for recapture models with heterogeneity
Capture–recapture models, Heterogeneity, Bayesian inference, Population size, Default prior, Model choice, 62F15, 62G05,
FARCOMENI, Alessio +3 more
core +1 more source
Maximum Empirical Likelihood Estimation of the Spectral Measure of an Extreme Value Distribution [PDF]
AMS 2000 subject classifications: Primary 62G05, 62G30, 62G32; secondary 60G70, 60F05, 60F17, JEL: C13 ...
Einmahl, J.H.J., Segers, J.J.J.
core
Fast estimation of Kendall's Tau and conditional Kendall's Tau matrices under structural assumptions
Kendall’s tau and conditional Kendall’s tau matrices are multivariate (conditional) dependence measures between the components of a random vector. For large dimensions, available estimators are computationally expensive and can be improved by averaging ...
van der Spek Rutger, Derumigny Alexis
doaj +1 more source
Mediated probabilities of causation
We propose a set of causal estimands that we call “the mediated probabilities of causation.” These estimands quantify the probabilities that an observed negative outcome was induced via a mediating pathway versus a direct pathway in a stylized setting ...
Rubinstein Max +2 more
doaj +1 more source
We study the impact of certain transformations within the class of Archimedean copulas. We give some admissibility conditions for these transformations, and define some equivalence classes for both transformations and generators of Archimedean copulas ...
Di Bernardino Elena, Rullière Didier
doaj +1 more source
Bias-reduced estimators of the Weibull tail-coefficient
Weibull tail-coefficient, Bias-reduction, Least-squares approach, Asymptotic normality, 62G05, 62G20, 62G30,
Gardes, Laurent +7 more
core +1 more source
Causal additive models with smooth backfitting
A fully nonparametric approach to learning causal structures from observational data is proposed. The method is described in the setting of additive structural equation models with a link to causal inference.
Morville Asger B., Park Byeong U.
doaj +1 more source
Hodges-lehmann estimate of the location parameter in censored samples
Primary 62G05, Secondary 62G20, 62G35, Censored Sample, Hodges and Lehmann estimate, Robustness, Wilcoxon Statistic, Efficiency,
A. Ehsanes Saleh
core +1 more source
Nonparametric expectile shortfall regression for functional data
This work addresses the issue of financial risk analysis by introducing a novel expected shortfall (ES) regression model, which employs expectile regression to define the shortfall threshold in financial risk management.
Almanjahie Ibrahim M. +4 more
doaj +1 more source

