Results 41 to 50 of about 15,712,923 (297)
Bayesian Model Selection for Generalized Linear Mixed Models
Biometrics, 2023 AbstractWe propose a Bayesian model selection approach for generalized linear mixed models (GLMMs). We consider covariance structures for the random effects that are widely used in areas such as longitudinal studies, genome-wide association studies, and spatial statistics.
Shuangshuang Xu +3 more
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Test optimization selection method based on NSGA-3 and improved Bayesian network model
Xibei Gongye Daxue Xuebao, 2021 Most of the solutions to existing test selection problems are based on single-objective optimization algorithms and multi-signal models, which maybe lead to some problems such as rough index calculation and large solution set limitations.
doaj +1 more source
Bayesian model selection analysis of WMAP3 [PDF]
Physical Review D, 2006 We present a Bayesian model selection analysis of WMAP3 data using our code CosmoNest. We focus on the density perturbation spectral index $n_S$ and the tensor-to-scalar ratio $r$, which define the plane of slow-roll inflationary models. We find that while the Bayesian evidence supports the conclusion that $n_S \neq 1$, the data are not yet powerful ...
Parkinson, David +2 more
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Mixtures of g-priors for Bayesian model averaging with economic applications [PDF]
, 2010 We examine the issue of variable selection in linear regression modeling, where we have a potentially large amount of possible covariates and economic theory offers insufficient guidance on how to select the ap- propriate subset.
Ley, Eduardo +2 more
core +1 more source
The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
Universal Darwinism as a process of Bayesian inference
Frontiers in Systems Neuroscience, 2016 Many of the mathematical frameworks describing natural selection are equivalent to Bayes’ Theorem, also known as Bayesian updating. By definition, a process of Bayesian Inference is one which involves a Bayesian update, so we may conclude that these ...
John Oberon Campbell
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Model Selection in Historical Research Using Approximate Bayesian Computation. [PDF]
PLoS ONE, 2016 FORMAL MODELS AND HISTORY:Computational models are increasingly being used to study historical dynamics. This new trend, which could be named Model-Based History, makes use of recently published datasets and innovative quantitative methods to improve our
Xavier Rubio-Campillo
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Bayesian model selection for exponential random graph models [PDF]
Social Networks, 2013 30 pages; Accepted to appear in Social ...
Alberto Caimo, Nial Friel
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Bayesian Model Selection of Lithium-Ion Battery Models via Bayesian Quadrature
IFAC-PapersOnLine, 2023 11 pages, 2 figures, accepted at ...
Adachi, Masaki +5 more
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Dynamic staged trees for discrete multivariate time series : forecasting, model selection and causal analysis [PDF]
, 2010 A new tree-based graphical model — the dynamic staged tree — is used to model discrete-valued discrete-time multivariate processes which are hypothesised to exhibit certain symmetries concerning how situations might unfold.
Smith, JQ +5 more
core +1 more source