Gaussian mixture modelling - Unsupervised learning

Small collection of numerical experiments

Data analysis functions for SBpipe

A very simple SIR model implementation and Levenberg-Marquardt fit with the Johns Hopkins CSSE data for COVID-19.

R based GUI for biodivine

Find the optimal parameters of an algorithm using random search in R

Epidemic Models Estimation and Simulation

Analyze the performance of thousands of students with just one sample. Determine the socioeconomic variables that increase a student's performance and graphically visualize the results

Age-structured model for COVID 19 transmisison

paramGUI is a Shiny based R-package for teaching parameter estimation examples inspired by time-resolved spectroscopy

IME-published article on Long-term Real Dynamic Investment Planning. While we enhance predictability of the real returns of S&P500 Index, we derive optimal non-myopic investment strategy, and we compare its performance with near-optimal Dynamic and Constant Merton investment strategies.

TIMP is an R package for fitting superposition models that implements the partitioned variable projection algorithm. The package has been extensively applied to modeling spectroscopy and Fluorescence Lifetime Imaging Microscopy (FLIM) datasets. This is the git managed codebase of the r-forge TIMP project.

Computational statistics project in R on "A Simulative Comparison of Goodness-of-Fit Tests (GOFTs) from an Operational Risk Perspective with Focus on Loss Severity Distributions"

Code for joint online parameter estimation and optimal sensor placement.

Efficient Estimation of Generative Models using Tukey Depth

Documentation of the Generalized Weibull Regression REU Project completed at the University of Michigan Dearborn Summer 2023

Sub-package of spatstat containing functionality for parametric modelling and inference

Estimate Crop Models' parameters