Location via proxy:
[ UP ]
[Report a bug]
[Manage cookies]
No cookies
No scripts
No ads
No referrer
Show this form
×
Please click
here
if you are not redirected within a few seconds.
All
Images
Videos
News
Maps
Shopping
Books
Search tools
Recent
Recent
Past hour
Past 24 hours
Past week
Past month
Past year
Archives
Sorted by relevance
Sorted by relevance
Sorted by date
Identifying Bayesian optimal experiments for uncertain biochemical pathway models | Scientific Reports
Nature
Pharmacodynamic (PD) models are mathematical models of cellular reaction networks that include drug mechanisms of action.
5 days ago
Automatic differentiation and the optimization of differential equation models in biology
Frontiers
A computational revolution unleashed the power of artificial neural networks. At the heart of that revolution is automatic differentiation, which calculates...
2 weeks ago
Estimating global identifiability using conditional mutual information in a Bayesian framework | Scientific Reports
Nature
A novel information-theoretic approach is proposed to assess the global practical identifiability of Bayesian statistical models.
8 months ago
How Should We Quantify Uncertainty in Statistical Inference?
Frontiers
An inferential statement is any statement about the parameters, form of the underlying process or future outcomes. An inferential statement, that provides...
1 week ago
Global ranking of the sensitivity of interaction potential contributions within classical molecular dynamics force fields ...
Nature
Uncertainty quantification (UQ) is rapidly becoming a sine qua non for all forms of computational science out of which actionable outcomes...
2 months ago
Analysis of sloppiness in model simulations: Unveiling parameter uncertainty when mathematical models are fitted to ...
Science | AAAS
This work introduces a comprehensive approach to assess the sensitivity of model outputs to changes in parameter values, constrained by the...
21 months ago
Characterization and Valuation of the Uncertainty of Calibrated Parameters in Microsimulation Decision Models
Frontiers
Background: We evaluated the implications of different approaches to characterize the uncertainty of calibrated parameters of microsimulation decision...
4 months ago
Evaluating the performance of Bayesian and restricted maximum likelihood estimation for stepped wedge cluster ...
BMC Medical Research Methodology
Stepped wedge trials are an appealing and potentially powerful cluster randomized trial design. However, they are frequently implemented...
26 months ago
Reverse engineering morphogenesis through Bayesian optimization of physics-based models | npj Systems Biology ...
Nature
Morphogenetic programs coordinate cell signaling and mechanical interactions to shape organs. In systems and synthetic biology,...
2 months ago
Heterogeneity estimation in meta-analysis of standardized mean differences when the distribution of random effects ...
BMC Medical Research Methodology
Advantages of meta-analysis depend on the assumptions underlying the statistical procedures used being met. One of the main assumptions that...
17 months ago