Results 131 to 140 of about 12,230 (257)
A quasi-Monte-Carlo comparison of parametric and semiparametric regression methods for heavy-tailed and non-normal data: an application to healthcare costs. [PDF]
J R Stat Soc Ser A Stat Soc, 2016 Jones AM, Lomas J, Moore PT, Rice N.
europepmc +1 more source
FlexMat, EarlyView.The state‐of‐the‐art research advances and its cutting‐edge application in super resolution stimulated emission depletion technology based on luminescent lanthanide nanocrystals. Abstract Stimulated emission depletion (STED) microscopy overcomes the diffraction limit to reveal subcellular structures beyond the reach of conventional optical methods ...
Yaqi Chen +4 more
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Industry Portfolio Volatility Connections and Industry Portfolio Returns
International Journal of Finance &Economics, EarlyView.ABSTRACT This paper tracks dynamic connections that form among daily US industry portfolio return volatilities using a Bayesian time‐varying parameter VAR model. Market participants often focus on sectors to filter vast amounts of information, and this focus results in cross‐industry return predictability. We characterise connections that form over the
Michael Ellington +2 more
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International Journal of Gynecology &Obstetrics, EarlyView.Abstract Objective This study identifies factors associated with not proceeding to clitoral reconstructive surgery among women with female genital mutilation (FGM) enrolled in a specialized surgical pathway. Methods A retrospective cohort study was conducted at a multidisciplinary referral center in Montreuil, France, between January 2021 and December ...
Félicia Joinau‐Zoulovits +3 more
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Irrigation and Drainage, EarlyView.ABSTRACT Crop modelling is essential for agricultural water management but often relies on simplified water balance routines that limit representation of soil moisture dynamics. To address this limitation, we developed a coupled model that integrates the 1‐D Richards equation, solved using a finite difference method into the FAO AquaCrop.
Krishna Panthi +2 more
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Identifying Peer Effects in Networks with Unobserved Effort and Isolated Students
Journal of Applied Econometrics, EarlyView.ABSTRACT Peer influence on effort devoted to some activity is often studied when effort is unobserved, and the researcher instead observes an outcome that combines effort with other shocks. For instance, in education, achievement measures such as GPA reflect both effort and idiosyncratic GPA shocks.
Aristide Houndetoungan +2 more
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Laser &Photonics Reviews, EarlyView.Bayesian optimization combined with in situ quantitative phase imaging enables autonomous correction of layer‐height deviations in projection multi‐photon lithography. By jointly tuning model parameters and grayscale exposure settings, the method achieves more uniform and accurate layers within 300 prints, offering a fast, data‐efficient route to ...
Jason E. Johnson, Xianfan Xu
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Mathematical Methods in the Applied Sciences, EarlyView.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
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Research in Nursing &Health, EarlyView.ABSTRACT Caring for infants experiencing or at risk of substance withdrawal often increases nursing workload and may contribute to missed nursing care (MNC). This study examined the relationship between infants' substance withdrawal status and the occurrence of MNC in neonatal intensive care units (NICUs). We conducted a secondary analysis of data from
Sooyoung Kim +4 more
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Epistemic and aleatoric uncertainty quantification in weather and climate models
Quarterly Journal of the Royal Meteorological Society, EarlyView.Aleatoric and epistemic uncertainties over time on weather and climate time‐scales, estimated through ensembles that sample aleatoric and epistemic uncertainty using Bayesian neural networks for parameterisations in the Lorenz 1996 model. The spread shows the 16th and 84th percentiles.
Laura A. Mansfield +1 more
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