Bayesian model-averaged meta-analysis in medicine.
Sign Up to like & getrecommendations! Published in 2021 at "Statistics in medicine"
DOI: 10.1002/sim.9170
Abstract: We outline a Bayesian model-averaged (BMA) meta-analysis for standardized mean differences in order to quantify evidence for both treatment effectiveness δ and across-study heterogeneity τ . We construct four competing models by orthogonally combining two… read more here.
Keywords: medicine; bayesian model; prior distributions; meta analysis ... See more keywords
Counterfactual explanation of Bayesian model uncertainty
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DOI: 10.1007/s00521-021-06528-z
Abstract: Artificial intelligence systems are becoming ubiquitous in everyday life as well as in high-risk environments, such as autonomous driving, medical treatment, and medicine. The opaque nature of the deep neural network raises concerns about its… read more here.
Keywords: counterfactual explanation; model; bayesian model; model uncertainty ... See more keywords
Bayesian model comparison with un-normalised likelihoods
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DOI: 10.1007/s11222-016-9629-2
Abstract: Models for which the likelihood function can be evaluated only up to a parameter-dependent unknown normalizing constant, such as Markov random field models, are used widely in computer science, statistical physics, spatial statistics, and network… read more here.
Keywords: bayesian model; normalised likelihoods; use; comparison normalised ... See more keywords
Objective Bayesian model choice for non-nested families: the case of the Poisson and the negative binomial
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DOI: 10.1007/s11749-020-00717-z
Abstract: Selecting a statistical model from a set of competing models is a central issue in the scientific task, and the Bayesian approach to model selection is based on the posterior model distribution, a quantification of… read more here.
Keywords: bayesian model; poisson negative; poisson; model ... See more keywords
A Flexible Bayesian Model for Estimating Subnational Mortality
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DOI: 10.1007/s13524-017-0618-7
Abstract: Reliable subnational mortality estimates are essential in the study of health inequalities within a country. One of the difficulties in producing such estimates is the presence of small populations among which the stochastic variation in… read more here.
Keywords: bayesian model; subnational mortality; mortality; model ... See more keywords
A Bayesian model for estimating multi-state disease progression
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DOI: 10.1016/j.compbiomed.2016.12.011
Abstract: A growing number of individuals who are considered at high risk of cancer are now routinely undergoing population screening. However, noted harms such as radiation exposure, overdiagnosis, and overtreatment underscore the need for better temporal… read more here.
Keywords: state; bayesian model; observation error; model ... See more keywords
A Bayesian model of fisheries discards with flexible structure and priors defined by experts
Sign Up to like & getrecommendations! Published in 2017 at "Ecological Modelling"
DOI: 10.1016/j.ecolmodel.2017.10.007
Abstract: Abstract Minimizing the probability of discards is an important step in mitigating environmental impacts of fishing activities and maximizing economic gains from fish stocks. Although several discard models have been recently developed, current approaches are… read more here.
Keywords: bayesian model; discards flexible; model; fisheries discards ... See more keywords
One size does not fit all… panel data: Bayesian model averaging and data poolability
Sign Up to like & getrecommendations! Published in 2018 at "Economic Modelling"
DOI: 10.1016/j.econmod.2018.07.009
Abstract: Abstract We show in this paper why researchers ought to pay particular attention to the issues of model uncertainty and data poolability in their panel data applications. We focus on the identification of robust determinants… read more here.
Keywords: panel data; bayesian model; model averaging; model ... See more keywords
A multiple crop model ensemble for improving broad-scale yield prediction using Bayesian model averaging
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DOI: 10.1016/j.fcr.2017.06.011
Abstract: Abstract Process-based crop models are popular tools to evaluate the impact of climate change and agricultural management on crop growth. Accurate simulation of crop production over large geographic regions using an individual crop model remains… read more here.
Keywords: bayesian model; crop model; model averaging; model ... See more keywords
Survival analysis of fatigue data: Application of generalized linear models and hierarchical Bayesian model
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Fatigue"
DOI: 10.1016/j.ijfatigue.2018.07.027
Abstract: Abstract The survival analysis is introduced to describe the fatigue failure process in this paper for obtaining a set of flexible and accurate probabilistic stress-life (P-S-N) curves in fatigue reliability analysis. The generalized linear models… read more here.
Keywords: bayesian model; analysis; generalized linear; hierarchical bayesian ... See more keywords
How to improve parameter estimates in GLM-based fMRI data analysis: cross-validated Bayesian model averaging
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DOI: 10.1016/j.neuroimage.2017.06.056
Abstract: In functional magnetic resonance imaging (fMRI), model quality of general linear models (GLMs) for first-level analysis is rarely assessed. In recent work (Soch et al., 2016: "How to avoid mismodelling in GLM-based fMRI data analysis: cross-validated… read more here.
Keywords: bayesian model; analysis; cross validated; validated bayesian ... See more keywords