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Inference for ODE Models Without Solvers by armandosano is a document available to read on EtoBox.

This document presents a novel approach for parameter inference in differential equation models that eliminates the need for numerical solutions, thereby avoiding truncation errors that can distort likelihood-based inference. The method, termed generalised profiling, utilizes splines to approximate data and enforce the governing ODE without solving it, allowing for more reliable parameter estimation. Open-access resources are provided for implementation, making this approach applicable to a wide range of bi

Author
armandosano
Language
EN