Results 61 to 70 of about 284,592 (266)
Bayesian non-parametrics and the probabilistic approach to modelling [PDF]
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2013 Modelling is fundamental to many fields of science and engineering. A model can be thought of as a representation of possible data one could predict from a system. The probabilistic approach to modelling uses probability theory to express all aspects of uncertainty in the model.
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
A non-parametric electrode model for intracellular recording [PDF]
Neurocomputing, 2007 We present a new way to model the response of an electrode to an injected current. The electrode is represented by an unknown complex linear circuit, characterized by a kernel which we determine by injecting a noisy current. We show both in simulations and experiments that, when applied to a full recording setup (including acquisition board and ...
Romain Brette +4 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
wiley +1 more source
The comparison of three risk assessment models based on cadmium exposure level in rice
Zhongguo shipin weisheng zazhi, 2022 ObjectiveThe advantages and disadvantages of three statistical models commonly used in food contaminant exposure assessment， namely the observed individual means （OIM） model， the beta-abinomial and normal （BBN） model and the non-parametric model were ...
LIU Jialin +3 more
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Scene Parsing With Integration of Parametric and Non-Parametric Models [PDF]
IEEE Transactions on Image Processing, 2016 13 Pages, 6 figures, IEEE Transactions on Image Processing (T-IP ...
Bing Shuai +3 more
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Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
Journal of Modern Power Systems and Clean Energy, 2021 We propose a new way to develop non-parametric models of power curves using artificial intelligence tools. One parametric model and eight non-parametric models are developed to emulate the behavior described by the power curve of the wind farms.
Jonata C. de Albuquerque +5 more
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Calpain small subunit homodimerization is robust and calcium‐independent
FEBS Letters, EarlyView.Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy +4 more
wiley +1 more source
Bayesian Non-Parametric Inference for Multivariate Peaks-over-Threshold Models
EntropyWe consider a constructive definition of the multivariate Pareto that factorizes the random vector into a radial component and an independent angular component. The former follows a univariate Pareto distribution, and the latter is defined on the surface
Peter Trubey, Bruno Sansó
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