Results 51 to 60 of about 4,373,274 (284)

Behavioral Coping With Food Price Inflation: Patterns Among U.S. Households

open access: yesApplied Economic Perspectives and Policy, EarlyView.
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

open access: yesEntropy, 2006
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]

open access: yes, 2023
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?

open access: yesAgribusiness, EarlyView.
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

open access: yesAdvanced Intelligent Systems, EarlyView.
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

open access: yesEuropean Physical Journal C: Particles and Fields, 2017
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]

open access: yesPLoS ONE, 2015
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

Occupational Conditions and Well‐Being Among Informal Waste Pickers in Hong Kong: A Comparative Study of 2018 and 2023

open access: yesAmerican Journal of Industrial Medicine, EarlyView.
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

Nanostructured Deep Eutectic Systems in Healthcare: From Bioactive Solvents to Intelligent Biointerfaces, Wearables, and AI‐Driven Design

open access: yesAdvanced NanoBiomed Research, EarlyView.
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

Doubly robust estimation of log-linear structural nested mean models for binary outcomes using coherent nuisance models

open access: yesJournal of Causal Inference
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

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