Results 261 to 270 of about 343,435 (310)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Emerging evidence suggests that low‐frequency neural oscillations are dynamically regulated by consciousness levels, with the recovery of low cortical activity potentially serving as a neurophysiological substrate for conscious emergence. Targeted enhancement of these low‐frequency rhythms in patients with disorders of consciousness
Chuan Xu +10 more
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Incidence of type 2 diabetes, cardiovascular disease and chronic kidney disease in patients with multiple sclerosis initiating disease-modifying therapies: Retrospective cohort study using a frequentist model averaging statistical framework. [PDF]
PLoS OneBrnabic AJM +8 more
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Bayesian model averaging in R [PDF]
Journal of Economic and Social Measurement, 2011 Bayesian model averaging has increasingly witnessed applications across an array of empirical contexts. However, the dearth of available statistical software which allows one to engage in a model averaging exercise is limited. It is common for consumers of these methods to develop their own code, which has obvious appeal.
Shahram Amini, Christopher F. Parmeter
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Model Selection and Model Averaging [PDF]
, 2015 info:eu-repo/semantics ...
Claeskens, Gerda, Jansen, Maarten
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Model averaging with averaging covariance matrix
Economics Letters, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhao, Shangwei +2 more
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Consistency of BIC Model Averaging
Statistica Sinica, 2023Summary: BIC weighting is frequently applied to high-dimensional linear regressions when model averaging is used to address model selection uncertainty. It also plays a central role in model selection diagnostics. However, little research has been done on its consistency or weak consistency, which are crucial properties of model averaging methods.
Chen, Ze +3 more
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Ranking Model Averaging: Ranking Based on Model Averaging
INFORMS Journal on ComputingRanking problems are commonly encountered in practical applications, including order priority ranking, wine quality ranking, and piston slap noise performance ranking. The responses of these ranking applications are often considered as continuous responses, and there is uncertainty on which scoring function is used to model the responses.
Ziheng Feng +4 more
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Averaging sampling: Models and properties
2008 American Control Conference, 2008In the paper we study the properties of a sampling method for stochastic signals corrupted by a wide-band stochastic noise where samples are taken as average values of the signal over the sampling interval to diminish the influence of noise. We also study possible improvement attained by discrete-time Kalman filtering applied to the sampled signal.
Marian J. Blachuta, Rafal T. Grygiel
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Averaging in the Autoresonance Model
Mathematical Notes, 2003The author investigates perturbed Hamiltonian systems for \(u(t, \varepsilon)\), \(v(t,\varepsilon)\) of the form \[ du/dt-H_v(u,v)=\varepsilon f(\tau)\cos\varphi,\qquad dv/dt+H_u(u,v)=\varepsilon g(\tau)\cos\varphi, \] with initial conditions \(u(0,\varepsilon)=v(0,\varepsilon)=0\), where \(\varepsilon\) is a small parameter, \(\tau=\varepsilon t\) is
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Bayesian Model Selection and Model Averaging
Journal of Mathematical Psychology, 2000This paper reviews the Bayesian approach to model selection and model averaging. In this review, I emphasize objective Bayesian methods based on noninformative priors. I will also discuss implementation details, approximations, and relationships to other methods. Copyright 2000 Academic Press.
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