Methods for computational information geometry
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Updated
Sep 16, 2026 - Julia
Methods for computational information geometry
PESTO: Parameter EStimation TOolbox, Bioinformatics, btx676, 2017.
A Python toolbox for COPASI
Fit and evaluate nonlinear regression models.
Python implementations of semiparametric statistical techniques.
Find the likelihood based confidence intervals for parameters in structural equation modeling
Research code for the manuscript on structural and practical identifiability of perception and memory in nonlocal advection-diffusion models of animal movement: pseudo-spectral and finite-volume solvers, profile likelihood and Bayesian inference, and an application to archived wolf GPS data.
A 6-node lumped-parameter thermal network (LPTN) for a sealed electronics enclosure, testing whether a well-fitting model actually has identifiable parameters.
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