Parametric Sensitivity Analysis Using Large-Sample Approximate Bayesian Posterior Distributions.

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Scholarly articles for Parametric Sensitivity Analysis Using Large-Sample Approximate Bayesian Posterior Distributions.

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… -sample approximate Bayesian posterior distributions
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A Bayesian approach with Gaussian priors to the inverse problem ... - arXiv

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6 days ago · Parameter identification; semiparametric inference; uncertainty quantification; frequentist analysis of posterior distributions; simulation study. Report issue ...

[EPUB] A Bayesian framework for virtual comparative trials and ... - Frontiers

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18 hours ago · Metropolis–Hastings Markov-chain Monte Carlo (MCMC) sampling was used to obtain a sample of the parameter values from their joint posterior distribution given ...

[PDF] BayesianSSA: a Bayesian statistical model based on structural ... - bioRxiv

www.biorxiv.org › 2024/07/24 › 2...

7 days ago · Structural sensitivity analysis (SSA) was previously devel- oped as a method to predict qualitative responses to enzyme perturbations on the basis of the.

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Molecular Reconstruction of Heavy Petroleum Fractions: A Bayesian ...

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1 day ago · We developed molecular stochastic reconstruction algorithms from a Bayesian perspective. The parameter estimation of stochastic reconstruction models is a ...

Bayesian peak identification method for low count rate gamma spectrum ...

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5 days ago · A Bayesian peak identification method based on physical model had been proposed in this study to perform qualitative analysis for the low count rate gamma ...

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[PDF] arXiv:2407.20580v1 [stat.ME] 30 Jul 2024

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20 hours ago · Furthermore, we show that the approach produces a posterior distribution that can be explored in polynomial time using a simple Gibbs sampling algorithm. Toward ...

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Inference of chromosome selection parameters and missegregation ...

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7 hours ago · We introduce a parameter inference algorithm that takes advantage of both bulk and single-cell DNA-seq cohorts. The method is based on Approximate Bayesian ...

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[PDF] Small Sample Size Solutions; A Guide for Applied Researchers ... - AWS

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7 days ago · 2. utilize that posterior distribution as the prior distribution in another Bayesian analysis for the second data set. The resulting posterior distribution from ...

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Bayesian Statistics

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2 days ago · First, we approximated the posterior distribution of a Bayesian regression, and our goal was to estimate the posterior mean and precision of interpretable ...

Comparing parameter-reduction methods on a biophysical model of ...

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13 hours ago · In this study, we develop systematic methods, applying statistical analysis and dynamical-systems theory, to reduce parameter count in a biophysical model. We ...

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