Genetic heterogeneity of residual variance - estimation of variance components using double hierarchical generalized linear models [PDF]
Genetics Selection Evolution, 2010 Background The sensitivity to microenvironmental changes varies among animals and may be under genetic control. It is essential to take this element into account when aiming at breeding robust farm animals.
Fikse Freddy +4 more
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Bayesian inference for Poisson and multinomial log-linear models [PDF]
, 2009 Categorical data frequently arise in applications in the social sciences. In such applications,the class of log-linear models, based on either a Poisson or (product) multinomial response distribution, is a flexible model class for inference and ...
Forster, Jonathan J.
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Bayesian designs for hierarchical linear models [PDF]
, 2012 Two Bayesian optimal design criteria for hierarchical linear models are discussed – the ?? criterion for the estimation of individual-level parameters ?, and the ?? criterion for the estimation of hyperparameters ?.
Allenby, Gregory +5 more
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Posterior propriety of an objective prior for generalized hierarchical normal linear models
Statistical Theory and Related Fields, 2022 Bayesian Hierarchical models has been widely used in modern statistical application. To deal with the data having complex structures, we propose a generalized hierarchical normal linear (GHNL) model which accommodates arbitrarily many levels, usual ...
Cong Lin, Dongchu Sun, Chengyuan Song
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Increased interpretation of deep learning models using hierarchical cluster-based modelling.
PLoS ONE, 2023 Linear prediction models based on data with large inhomogeneity or abrupt non-linearities often perform poorly because relationships between groups in the data dominate the model.
Elise Lunde Gjelsvik, Kristin Tøndel
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Modelling the effects of air pollution on health using Bayesian dynamic generalised linear models [PDF]
, 2008 The relationship between short-term exposure to air pollution and mortality or morbidity has been the subject of much recent research, in which the standard method of analysis uses Poisson linear or additive models.
Shaddick, G +3 more
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Alignment-based conformance checking of hierarchical process models [PDF]
, 2023 Process mining has received much attention in the field of business pro cess management. Event logs that are generated from information systems can be correlated with the process models for conformance checking.
Wang, L +4 more
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Journal of Research in Education Sciences, 2010 本研究目的在瞭解參與集中式資優班的國中資優生，其科學自我概念是否存在負向「大魚小池效應」（big fish little pond effect），抑或資優班的標籤反而帶給個人正向的榮耀感效應（reflected glory effects）？研究樣本包含367 位資優生及1,364位一般生，以科學自我概念量表、自然科學業成就測驗與班級榮耀感量表為工具，使用HLM 軟體進行學生及班級二階層模式（multilevel modeling）的統計分析。研究結論為：一、我國資優班學生的科學自我概念存在明顯的負向「
侯雅齡 Ya-Ling Hou
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Bayesian methods for hierarchical distance sampling models [PDF]
, 2014 Cornelia S. Oedekoven was supported by a studentship jointly funded by the University of St Andrews and EPSRC (EPSRC grant EP/C522702/1), through the National Centre for Statistical Ecology.The few distance sampling studies that use Bayesian methods ...
Oedekoven, Cornelia Sabrina +11 more
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HLMdiag: A Suite of Diagnostics for Hierarchical Linear Models in R
Journal of Statistical Software, 2014 Over the last twenty years there have been numerous developments in diagnostic pro- cedures for hierarchical linear models; however, these procedures are not widely imple- mented in statistical software packages, and those packages that do contain a ...
Adam Loy, Heike Hofmann
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