Results 251 to 260 of about 14,251,254 (300)

Model averaging in calibration of near-infrared instruments with correlated high-dimensional data. [PDF]

J Appl Stat
Salaki DT, Kurnia A, Sartono B, Mangku IW, Gusnanto A.   +4 more
europepmc   +1 more source

Model averaging estimation of panel data models with many instruments and boosting. [PDF]

J Appl Stat
Hao H, Huang B, Lee TH.
europepmc   +1 more source

Model Selection and Model Averaging [PDF]

, 2015
info:eu-repo/semantics ...
Claeskens, Gerda, Jansen, Maarten
openaire   +1 more source

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 averaging with averaging covariance matrix

Economics Letters, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhao, Shangwei, Zhang, Xinyu, Gao, Yichen   +2 more
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Consistency of BIC Model Averaging

Statistica Sinica, 2023
Summary: 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, Zhang, Jianqiang, Xu, Wangli, Yang, Yuhong   +3 more
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Ranking Model Averaging: Ranking Based on Model Averaging

INFORMS Journal on Computing
Ranking 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, Baihua He, Tianfa Xie, Xinyu Zhang 0024, Xianpeng Zong   +4 more
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Averaging sampling: Models and properties

2008 American Control Conference, 2008
In 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, 2003
The 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, 2000
This 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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