Results 41 to 50 of about 47,776 (252)
Rank‐based estimation of propensity score weights via subclassification
Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang +3 more
wiley +1 more source
Asymptotic properties of cross‐classified sampling designs
Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley +1 more source
Consumer diversity drives stronger predation in tropical marine communities
Biotic interactions are predicted to be stronger in the tropics compared to higher latitudes, contributing to observed patterns of global biodiversity. While increased consumer diversity and more complex food webs are expected in tropical communities, the trophic dynamics underlying strong regional effects of predation are not well understood.
Michele F. Repetto +4 more
wiley +1 more source
Citizen science deepens the ecological and climatic dimensions of mosquito surveillance
As mosquito‐borne diseases continue to expand worldwide, integrating citizen science into vector surveillance presents untapped potential. This study compares ecological models of Aedes albopictus, an invasive mosquito and global vector of dengue and other arboviruses, in Spain (2020–2022), using two contrasting data sources: traditional traps and ...
Catuxa Cerecedo‐Iglesias +2 more
wiley +1 more source
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali +6 more
wiley +1 more source
A Hardware Generator of Multi-point Distributed Random Numbers for Monte Carlo Simulation [PDF]
Monte Carlo simulation of weak approximations of stochastic differential equations constitutes an intensive computational task. In applications such as finance, for instance, to achieve "real time" execution, as often required, one needs highly efficient
Filippo Martini +3 more
core
ABSTRACT Double/debiased machine learning (DML) uses for estimating an average treatment effect (ATE) a double‐robust score function that relies on the prediction of nuisance functions, such as the propensity score, which is the probability of treatment assignment given covariates.
Daniele Ballinari, Nora Bearth
wiley +1 more source
Research on Random Discrete Ordinates Method Based on Quasi-Monte Carlo Integration Technique
The discrete ordinates (SN) method proposed by Carlson constitutes an angular discretization for neutron transport equation. Owing to its superior computational accuracy and efficiency compared to alternative numerical approaches, the SN method has been ...
DAI Tao, XU Longfei, LI Baiwen, SHEN Huayun, HU Yuan, MA Ruiyao
doaj +1 more source
Low and high orders light scattering within the dispersible media. [PDF]
Sprays, aerosols as well as other industrially relevant turbid media can be characterized by light scattering techniques. However these techniques often fall into the intermediate scattering regime where the average number of times a photon is ...
Churmakov, D. Y. +3 more
core
ABSTRACT We develop a unified mathematical framework extending classical moment theory from discrete integer orders to a continuous spectrum of real orders f>0$$ f>0 $$, providing a systematic statistical characterization of complex systems exhibiting power‐law behavior.
Farrukh A. Chishtie
wiley +1 more source

