Pages that link to "Item:Q2676029"
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The following pages link to Reliable and efficient parameter estimation using approximate continuum limit descriptions of stochastic models (Q2676029):
Displaying 8 items.
- Quantifying uncertainty in parameter estimates for stochastic models of collective cell spreading using approximate Bayesian computation (Q494470) (← links)
- Efficient parameter estimation for self-similar processes (Q916289) (← links)
- A Bayesian sequential learning framework to parameterise continuum models of melanoma invasion into human skin (Q2633569) (← links)
- Profile likelihood-based parameter and predictive interval analysis guides model choice for ecological population dynamics (Q2681854) (← links)
- A continuation technique for maximum likelihood estimators in biological models (Q6077310) (← links)
- Generalised likelihood profiles for models with intractable likelihoods (Q6190673) (← links)
- Optimal design of large-scale nonlinear Bayesian inverse problems under model uncertainty (Q6581200) (← links)
- Forecasting and predicting stochastic agent-based model data with biologically-informed neural networks (Q6632673) (← links)
