Elegant Mathematica-style model manipulation, fitting and exploration in MATLAB.
-
Updated
Sep 19, 2017 - MATLAB
Elegant Mathematica-style model manipulation, fitting and exploration in MATLAB.
GEARS a toolbox for Global parameter Estimation with Automated Regularisation via Sampling by Jake Alan Pitt and Julio R. Banga
Implementation of the algorithm described in the following paper. Korenberg, M., Billings, S.A. and Liu, Y.P. (1987) An Orthogonal Parameter Estimation Algorithm for Nonlinear Stochastic Systems
Reference repository for code used in our NBDT publication on the dynamic clicks task
Meta-analysis toolbox for basic research applications. Developed in MATLAB R2016b.
This MATLAB script fits either a linear or hyperbolic function to time-series data (e.g., growth data).
code to infer model parameters from data (first dedicated to the dynamic clicks task)
The project involves projective geometry, geometric transformations, modelling of cameras, feature extraction, stereo vision, recognition and deep learning, 3d-modelling, geometry of surfaces and their silhouettes, tracking, and visualisation.
Semester Project for Timeseries Course / Aristotle University of Thessaloniki / Winter Semester 2020
a gradient-based optimisation routine for highly parameterised non-linear dynamical models
Files used for the Cibernetica Fisiologica project. I've used the Matlab sensitivity toolbox to find the parameters that make the model fits the data simulated.
Add a description, image, and links to the model-fitting topic page so that developers can more easily learn about it.
To associate your repository with the model-fitting topic, visit your repo's landing page and select "manage topics."