Results 51 to 60 of about 121,305 (186)
A flexible approach to parametric inference in nonlinear time series models [PDF]
, 2005 Many structural break and regime-switching models have been used with macroeconomic and …nancial data. In this paper, we develop an extremely flexible parametric model which can accommodate virtually any of these speci…cations and does so in a simple way
Koop, G.M., Potter, S.
core
Applied SciencesAgainst the backdrop of the low-altitude economy, with the widespread application of drones in sports scenarios, the driving mechanism of users’ long-term usage intention has become a key issue in technology adoption research. To investigate the critical
Mengjuan Zhang +3 more
doaj +1 more source
Learning Large-Scale Bayesian Networks with the sparsebn Package [PDF]
, 2018 Learning graphical models from data is an important problem with wide applications, ranging from genomics to the social sciences. Nowadays datasets often have upwards of thousands---sometimes tens or hundreds of thousands---of variables and far fewer ...
Aragam, Bryon, Gu, Jiaying, Zhou, Qing
core +3 more sources
Model Assessment for a Generalised Bayesian Structural Equation Model
, 2021 The paper proposes a novel model assessment paradigm aiming to address shortcoming of posterior predictive $p-$values, which provide the default metric of fit for Bayesian structural equation modelling (BSEM). The model framework of the paper focuses on the approximate zero approach, according to which parameters that would before set to zero (e.g ...
Vamvourellis, Konstantinos +2 more
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MathematicsStructural Equation Modeling (SEM) is a key framework for analyzing complex economic relationships involving latent variables, mediation effects, and endogeneity, yet the choice between frequentist and Bayesian estimation remains theoretically and ...
Bojan Baškot +3 more
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Causal modeling in a multi-omic setting: insights from GAW20
BMC Genetics, 2018 Background Increasingly available multilayered omics data on large populations has opened exciting analytic opportunities and posed unique challenges to robust estimation of causal effects in the setting of complex disease phenotypes.
Jonathan Auerbach +7 more
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Measurement Invariance: Testing for It and Explaining Why It is Absent
Survey Research Methods, 2020 There has been a significant increase in cross-national and longitudinal data production in social science research in recent decades. Before drawing substantive conclusions based on cross-national and longitudinal survey data, researchers need to ...
Katharina Meitinger +3 more
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Cattle grazing and conservation of a meadow-dependent amphibian species in the Sierra Nevada. [PDF]
PLoS ONE, 2012 World-wide population declines have sharpened concern for amphibian conservation on working landscapes. Across the Sierra Nevada's national forest lands, where almost half of native amphibian species are considered at risk, permitted livestock grazing is
Leslie M Roche +3 more
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Bayesian Structural Equation Envelope Model
PsychometrikaAbstract The envelope model has gained significant attention since its proposal, offering a fresh perspective on dimension reduction in multivariate regression models and improving estimation efficiency. One of its appealing features is its adaptability to diverse regression contexts.
Chuchu Wang +3 more
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Logistics & Sustainable Transport, 2015 The paper addresses the effect of external integration (EI) with transport suppliers on the efficiency of travel agencies in the tourism sector supply chains.
Kovačić Nataša +2 more
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