Results 51 to 60 of about 4,373,274 (284)
Behavioral Coping With Food Price Inflation: Patterns Among U.S. Households
ABSTRACT Recent food price inflation has placed substantial pressure on household budgets, food security, and mental well‐being. Using Household Pulse Survey data, we combine k‐modes clustering and Double Machine Learning to identify distinct household coping groups and examine differences in how households respond to rising food prices across groups ...
Yuxiang Zhang, Yizao Liu
wiley +1 more source
Inference with the Median of a Prior
We consider the problem of inference on one of the two parameters of a probability distribution when we have some prior information on a nuisance parameter.
Ali Mohammad-Djafari, Adel Mohammadpour
doaj +1 more source
Bayesian Active Learning in the Presence of Nuisance Parameters [PDF]
In many settings, such as scientific inference, optimization, and transfer learning, the learner has a well-defined objective, which can be treated as estimation of a target parameter, and no intrinsic interest in characterizing the entire data ...
Martinelli, Julien +3 more
core +1 more source
Do More Open Economies Export Less Diversely in Brazilian Agribusiness?
ABSTRACT This paper asks whether municipalities with a larger export‐to‐revenue ratio display a more concentrated bundle of exported goods in Brazilian agribusiness. Recent advances in export imputation for Brazilian municipalities allow for an analysis of the concentration profile of each municipality and its association with export openness.
Alan Leal, Michelle Marcia Viana Martins
wiley +1 more source
Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems
Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja +2 more
wiley +1 more source
Modeling theoretical uncertainties in phenomenological analyses for particle physics
The determination of the fundamental parameters of the Standard Model (and its extensions) is often limited by the presence of statistical and theoretical uncertainties.
Jérôme Charles +3 more
doaj +1 more source
Elucidating the foundations of statistical inference with 2 x 2 tables. [PDF]
To many, the foundations of statistical inference are cryptic and irrelevant to routine statistical practice. The analysis of 2 x 2 contingency tables, omnipresent in the scientific literature, is a case in point.
Leena Choi +2 more
doaj +1 more source
ABSTRACT Background Informal waste pickers play a crucial role in urban recycling systems but often face precarious employment and systematic marginalization. This study examines the evolving demographic, occupational, and health trends of informal waste pickers in Hong Kong between 2018 and 2023.
Siu‐Ming Chan +6 more
wiley +1 more source
Beyond the green solvent paradigm, this review redefines Deep Eutectic Systems (DES) as programmable supramolecular nanoassemblies. We survey their biomedical convergence: stabilizing thermolabile mRNA to enable cold chain‐free logistics, reshaping transdermal microneedle delivery, enabling long‐term wearables via eutectogels, and utilizing Generative ...
Jeesu Moon, Min Seo Kim, Jae‐Seung Lee
wiley +1 more source
Time-varying treatments can be confounded by time-varying prognostic factors influenced by earlier treatments. Structural nested mean models (SNMMs) adjust for time-varying confounders by parameterizing causal effects conditioned on variable history, and
Arai Koshiro +4 more
doaj +1 more source

