Pages that link to "Item:Q2674119"
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The following pages link to Bayesian inference using Gaussian process surrogates in cancer modeling (Q2674119):
Displaying 6 items.
- A Bayesian sequential learning framework to parameterise continuum models of melanoma invasion into human skin (Q2633569) (← links)
- Reprint of: Bayesian inference using Gaussian process surrogates in cancer modeling (Q2679339) (← links)
- Using dynamic active subspaces to construct surrogate models for calibrating tumor growth models to data (Q5875800) (← links)
- Surrogate-accelerated Bayesian framework for high-temperature thermal diffusivity characterization (Q6118511) (← links)
- Bridging scales: a hybrid model to simulate vascular tumor growth and treatment response (Q6201151) (← links)
- Calibration of stochastic, agent-based neuron growth models with approximate Bayesian computation (Q6622628) (← links)
