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2014年11月4日 · Weighted-average least squares (WALS) is a recent model-average approach, which takes an intermediate position between frequentist and Bayesian methods, allows a …

2018年5月1日 · The weighted-average least squares (WALS) approach, introduced by Magnus et al. (2010) in the context of Gaussian linear models, has been shown to enjoy important …

Huynh K (2024b). “WALS: Weighted-Average Least Squares Model Averaging in R.” University of Basel. Mimeo. computePosterior Internal function: Compute posterior mean and variance of …

2016年4月23日 · 在线WALS这个网站来源于一本同名书籍《The World Atlas of Language Structures》（首次出版于2005年），这本书凝聚着55位作者的心血——通过搜集、汇总对各 …

The finite-sample bias and variance of WALS have recently been analyzed by De Luca et al. (2021), who exploit results on the frequentist properties of the Bayesian posterior mean in a …

2016年1月6日 · Weighted‐average least squares (WALS) is a recent model‐average approach, which takes an intermediate position between frequentist and Bayesian methods, allows a …

2014年10月1日 · The current study proposes and evaluates a dynamic WALS-ESPD developed using the Weighted Average Least Square (WALS) algorithm, which has 0.25° spatial and …

WALS XML; This feature is described in the text of chapter 68 The Perfect by Östen Dahl and Viveka Velupillai cite. You may combine this feature with another one. Start typing the feature …

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