Zhixiao Zhu

The paper introduces a Python package for applying Gaussian Process and Approximate Bayesian Computation to Integral Projection Models, demonstrated with a Soay sheep case study.

This paper introduces ABC GP IPM, a flexible IPM framework using Gaussian Processes and Approximate Bayesian Computation to improve demographic modeling across species.

The paper introduces an improved ABC-PMC method for high-dimensional modular models by leveraging precomputed MCMC samples and adaptive summary statistics, significantly reducing computational cost.