Results 51 to 60 of about 24,465 (256)
Individual Heterogeneity and State Dependence: From George Biddell Airy to James Joseph Heckman
Œconomia, 2014 In this paper I examine the evolution of an idea: that differences between statistical relationships and the observations on which they are based, or disturbances, may have meaning and structure and that such meaning and structure must be taken into ...
Marc Nerlove
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Heterogeneity of Preictal Dynamics in Human Epileptic Seizures
IEEE Access, 2020 It is generally understood that there is a preictal phase in the development of a seizure and this precictal period is the basis for seizure prediction attempts. The focus of this study is the preictal global spatiotemporal dynamics and its intra-patient
Anup Das +2 more
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Implementing Factor Models for Unobserved Heterogeneity in Stata [PDF]
The Stata Journal: Promoting communications on statistics and Stata, 2016 We introduce a new command, heterofactor, for the maximum likelihood estimation of models with unobserved heterogeneity, including a Roy model. heterofactor fits models with up to four latent factors and allows the unobserved heterogeneity to follow general distributions.
Sarzosa, Miguel, Urzua, Sergio
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Advanced Engineering Materials, EarlyView.Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Bayesian Treatments for Panel Data Stochastic Frontier Models with Time Varying Heterogeneity
Econometrics, 2017 This paper considers a linear panel data model with time varying heterogeneity. Bayesian inference techniques organized around Markov chain Monte Carlo (MCMC) are applied to implement new estimators that combine smoothness priors on unobserved ...
Junrong Liu +2 more
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Advanced Engineering Materials, EarlyView.This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Exploring Influencing Factors of Intercity Mode Choice from View of Entire Travel Chain
Journal of Advanced Transportation, 2021 Exploring the influencing factors of intercity travel mode choice can reveal passengers’ travel decision mechanisms and help traffic departments to develop an effective demand management policy.
Xiaowei Li +4 more
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An analysis of motorcyclists' injury severities in work-zone crashes with unobserved heterogeneity
IATSS Research, 2022 Work-zone related crashes in Florida are increasing steadily in recent years. With such growing concern, work-zone is recognized in Florida Strategic Highway Safety Plan.
Mouyid Islam
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New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
Advanced Engineering Materials, EarlyView.This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
BMJ Public HealthBackground Smoking, physical inactivity, cholesterol level and systolic blood pressure are well-established risk factors for cardiovascular diseases (CVD).
Christian M Page +6 more
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