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搜索结果: 1-11 共查到Model averaging相关记录11条 . 查询时间(0.109 秒)
Spatial econometrics relies on spatial weights matrix to specify the cross sectional depen-dence, which might not be unique. This paper proposes a model selection procedure to choose an optimal weight...
Spatial econometrics relies on spatial weights matrix to specify the cross sectional depen-dence, which might not be unique. This paper proposes a model selection procedure to choose an optimal weight...
Hydro-biogeochemical models are used to foresee the impact of mitigation measures on water quality. Usually, scenario-based studies rely on single model applications. This is done in spite of the wide...
Background: Any improvement in the forecast accuracy of life expectancy would be beneficial for policy decision regarding the allocation of current and future resources. In this paper, I revisit some ...
Bayesian model averaging (BMA) is a statistical method for post-processing forecast ensembles of atmospheric variables, obtained from multiple runs of numerical weather prediction models, in order to ...
The joint modeling of longitudinal and time-to-event data is an active area of statistics research that has received a lot of attention in the recent years. More recently, a new and attractive applica...
We develop a fully Bayesian, computationally efficient framework for incorporating model uncertainty into Type II Tobit models and apply this to the investigation of the determinants of Foreign Direct...
A major challenge to the statistical analysis of microarray data is the small number of samples limited by both cost and sample availability compared to the large number of genes, now soaring into t...
The problem of evaluating the goodness of the predictive distributions developed by the Bayesian model averaging approach is investigated. Considering the maximization of the posterior mean of the exp...
Flexibly modeling the response variance in regression is important for efficient parameter estimation, correct inference, and for understanding the sources of variability in the response. Our articl...
The finite-sample as well as the asymptotic distribution of Leung and Barron’s (2006) model averaging estimator are derived in the context of a linear regression model. An impossibility result regar...

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