P.E.T.
Portfolio Evaluation Tool to visualise the Evolution of Products in a Company's Portfolio. >>Check the Beta online. Joint development with Roger Beyer and Melanie Lenz. Desktop Application for Windows on request, here are some Screenshots:
TreePlotter
Visualising any Tree-Structure given in Newick Format. With possible selection of Leaves to highlight Substructures in the Tree. Written in Python with wxWidgets. Screenshots:
TreeTime
Core of my PhD-Thesis. Software-Application for Bayesian Sampling of molecular Phylogenies. Including multiple Models for varying evolutionary Rates and specifying Prior Distributions for Branching Events. Manual and Windows Executable coming soon.
Artificial Neural Networks
Artificial Neural Network. Two examples of a Self Organizing Map. Unsupervised learning algorithm to 1. spread the net and to 2. cluster the colours. Click on the bottom left corner to start/stop the algorithm.
Multiple Change Point
Multiple Change Point Analysis Tool. Detects via Markov Chain Monte Carlo Sampling, if random events occur at the same Rate, written in R. Based on two Papers from Peter Green: Reversible jump Markov chain Monte Carlo computation and Bayesian model determination, Biometrika, 82, 711-732 (1995), PDF, and Trans-dimensional Markov chain Monte Carlo, in Highly Structured Stochastic Systems, 2003, PDF. Screenshot:
OpenGL TreeViz
TreeViz is a Tool to visualise a large set of Trees. The trees are decomposed into all possible subtrees of size 3. The Trees and Substructures are clustered by UPGMA, according to a special topological metric including branch lengths. The Trees can be surveyed in 3D space. Written in C++ with OpenGL/Glut. Screenshot:
Gewinnreihe
Tool for compare the value of payment flows received in different time periods. Desktop Application for Windows on request. Screenshot:
Multidimensional Data Analysis
Visualisation of multidimensional data. Assessing statistical precision and robustness of diverse Rate-Change Models with the help of TreeTime. Screenshot:
