Results 101 to 110 of about 2,084,039 (283)
Prior Distribution and Entropy in Computer Adaptive Testing Ability Estimation through MAP or EAP. [PDF]
Entropy (Basel), 2022 Suárez-Cansino J +4 more
europepmc +1 more source
Prior Distributions for Objective Bayesian Analysis
Bayesian Analysis, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Consonni, Guido +3 more
openaire +4 more sources
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
A Prior Distribution for Bayesian Meta Analyses
, 2023 We create a data-driven prior distribution for meta-analyses in social psychology.
Kaitlan McKinney +2 more
core +1 more source
Comparative Analysis of Picard and Bayesian Methods for Generalized Weibull: Parameter Estimation with Real Data Applications [PDF]
The Egyptian Statistical JournalBayesian methods are widely employed for parameter estimation but often depend on subjective prior specifications, which can impact their robustness. This study evaluates Picard’s approach as a numerical estimation methodology for the generalized Weibull
Mohamed Maswadah, Mostafa Shaaban
doaj +1 more source
A molecular prior distribution for Bayesian inference based on Wilson statistics. [PDF]
Comput Methods Programs Biomed, 2022 Gilles MA, Singer A.
europepmc +1 more source
The Asymptotically Unbiased Prior Distribution
The Annals of Mathematical Statistics, 1965 In estimation of a real valued parameter $\theta$, using observations from the probability density $f(x \mid \theta)$, and using loss function $L(\theta, \phi)$, the prior density which minimizes asymptotic bias of the associated estimator is shown to be $J(\theta) = \varepsilon((\partial/\partial\theta) \log f)^2/\lbrack(\partial^2/\partial\phi^2)L ...
openaire +3 more sources
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1980 Summary By using examples the difficulty of interpreting an improper prior distribution as a limit of some proper prior distributions is demonstrated. It is shown that an improper prior distribution can often be more adequately described as a limit of some data adaptive proper prior distributions.
openaire +2 more sources
FEBS Letters, EarlyView.Drosophila park mutants serve as a model for Parkinson's disease. We used this strain to investigate the connection between oxidative stress and the circadian clock mechanism. We showed that increased oxidative stress affects the physiology of pacemaker cells, disrupting their daily structural plasticity. Lack of rhythmic signaling from pacemaker cells
Kamila Zientara +3 more
wiley +1 more source
Specification of prior distributions under model uncertainty
, 2009 We consider the specification of prior distributions for Bayesian model comparison, focusing on regression-type models. We propose a particular joint specification of the prior distribution across models so that sensitivity of posterior model ...
Ntzoufras, Ioannis +2 more
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