Large Structures Seminar: Duncan Blythe
This talk is part of the AScI Thematic program "Challenges in Large Geometric Structures and Big Data" seminar. Check out our upcomning talks at https://aaltoscienceinst.github.io/lsbdseminar/.
| Where: | T5 @ T |
| When: | 11.05.2015 @ 11.00 (sharp) |
| Speaker: | Duncan Blythe Technische Universität Berlin |
| Title: | Prediction and Quantification of Individual Athletic Performance |
We provide the scientific foundations for athletic performance prediction on an individual level, exposing the phenomenology of individual athletic performance in the form of a low-rank model dominated by an individual power law. We present, evaluate, and compare a selection of methods for prediction of individual running performance, including our own, local matrix completion (LMC), which we show to perform best. We also show that many documented phenomena in quantitative sports science, such as the form of scoring tables, the success of existing prediction methods including Riegel’s formula, the Purdy points scheme, the power law for world records performances and the broken power law for world record speeds may be explained on the basis of our findings in a unified way.