Results 41 to 50 of about 15,911,760 (295)
Bayesian selection of graphical regulatory models
International Journal of Approximate Reasoning, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Silvia Liverani, Jim Q. Smith
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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 Online Model Selection
CoRROnline model selection in Bayesian bandits raises a fundamental exploration challenge: When an environment instance is sampled from a prior distribution, how can we design an adaptive strategy that explores multiple bandit learners and competes with the best one in hindsight?
Aida Afshar, Yuke Zhang, Aldo Pacchiano
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Bayesian model selection for LISA pathfinder [PDF]
Physical Review D, 2014 The main goal of the LISA Pathfinder (LPF) mission is to fully characterize the acceleration noise models and to test key technologies for future space-based gravitational-wave observatories similar to the eLISA concept. The data analysis team has developed complex three-dimensional models of the LISA Technology Package (LTP) experiment on-board LPF ...
Nikolaos Karnesis +14 more
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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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Statistical Theory and Related Fields, 2020 The power-expected-posterior prior is used in this paper for comparing nested linear models. The asymptotic behaviour of the method is investigated for different values of the power parameter of the prior.
D. Fouskakis +2 more
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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
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Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
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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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