Methods for computational information geometry
kullback-leibler-divergence
hypothesis-testing
profile-likelihood
parameter-inference
manifolds
geodesics
fisher-information
confidence-regions
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Updated
Sep 28, 2024 - Julia
Methods for computational information geometry
PESTO: Parameter EStimation TOolbox, Bioinformatics, btx676, 2017.
A Python toolbox for COPASI
Julia package for estimating parameters, fitting data, and generating profile likelihood plots.
Fit and evaluate nonlinear regression models.
Python implementations of semiparametric statistical techniques.
Find the likelihood based confidence intervals for parameters in structural equation modeling
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