Abstract
Growth phenomena are ubiquitous and pervasive not only in biology and the medical sciences, but also in economics, marketing and the computer and social sciences. We introduce a three-parameter version of the classic pure-birth process growth model when suitably instantiated, can be used to model growth phenomena in many seemingly unrelated application domains. We point out that the model is computationally attractive since it admits of conceptually simple, closed form solutions for the time-dependent probabilities.
| Original language | English |
|---|---|
| Pages (from-to) | 472-482 |
| Number of pages | 11 |
| Journal | International Journal of Computational Intelligence Systems |
| Volume | 5 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Jun 2012 |
Fields of science
- 102 Computer Sciences
- 102003 Image processing
- 202031 Network engineering
- 102007 Computer animation
- 102009 Computer simulation
- 102006 Computer supported cooperative work (CSCW)
- 102026 Virtual reality
JKU Focus areas
- Computation in Informatics and Mathematics